the effects of pricing on the sales force and the firm: a

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Kennesaw State University DigitalCommons@Kennesaw State University Dissertations, eses and Capstone Projects 7-1-2013 e Effects of Pricing on the Sales Force and the Firm: A Strategic View Wendy Ritz Kennesaw State University Follow this and additional works at: hp://digitalcommons.kennesaw.edu/etd Part of the Sales and Merchandising Commons is Dissertation is brought to you for free and open access by DigitalCommons@Kennesaw State University. It has been accepted for inclusion in Dissertations, eses and Capstone Projects by an authorized administrator of DigitalCommons@Kennesaw State University. Recommended Citation Ritz, Wendy, "e Effects of Pricing on the Sales Force and the Firm: A Strategic View" (2013). Dissertations, eses and Capstone Projects. Paper 576.

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Kennesaw State UniversityDigitalCommons@Kennesaw State University

Dissertations, Theses and Capstone Projects

7-1-2013

The Effects of Pricing on the Sales Force and theFirm: A Strategic ViewWendy RitzKennesaw State University

Follow this and additional works at: http://digitalcommons.kennesaw.edu/etdPart of the Sales and Merchandising Commons

This Dissertation is brought to you for free and open access by DigitalCommons@Kennesaw State University. It has been accepted for inclusion inDissertations, Theses and Capstone Projects by an authorized administrator of DigitalCommons@Kennesaw State University.

Recommended CitationRitz, Wendy, "The Effects of Pricing on the Sales Force and the Firm: A Strategic View" (2013). Dissertations, Theses and CapstoneProjects. Paper 576.

THE EFFECTS OF PRICING ON THE SALES FORCE AND THE FIRM:

A STRATEGIC VIEW

by

Wendy Ritz

A Dissertation

Presented in Partial Fulfillment of Requirement for the

Degree of

Doctor of Business Administration

In the

Coles College of Business

Kennesaw State University

Kennesaw, GA

2013

Copyright by

Wendy Ritz

2013

Coles College of Business Doctor of Business Administration

Dissertation Defense: July 9, 2013

DBA Candidate: Wendy Ritz

The content and format of the dissertation are appropriate and acceptable for the awarding of the

degree of Doctor of Business Administration .

Michelle Steward, PhD Committee Chair Associate Professor of Marketing School of Business Wake Forest University

Felicia N. Morgan, PhD Committee Member Associate Professor of Marketing Department of Marketing & Economics University of West Florida

Joseph F. Hair, Jr., PhD Committee Member DBA Founder and Senior Scholar Professor of Marketing Department of Marketing and Professional Sales Kennesaw State University

Brian N. Rutherford, PhD Reader Assistant Professor of Marketing Department of Marketing and Professional Sales Kennesaw State University

Juanne V. Greene, DBA Director, KSU DBA Program Senior Lecturer of Management Department of Management and Entrepreneurship Kennesaw State University

Charles J. Amlaner, Jr., DPhil Vice President for Research and Dean of Graduate College Kennesaw State University

--Signature: t- · ¥

Signature: ~ 71.-~

Signature: y~ ~

Signature cl~ ~\}

iv

ABSTRACT

THE EFFECTS OF PRICING ON THE SALES FORCE AND THE FIRM:

A STRATEGIC VIEW

by

Wendy Ritz

Previous research has examined the dysfunctional relationships often encountered

between marketing and sales, and the importance of cooperation and coordination

between these two functional areas. But no prior studies have investigated the

consequences of misaligned pricing and sales force compensation strategies that emerge

from these two functional areas. This dissertation examines the impact of the firm’s

pricing strategy on the sales force, and evaluates the importance of identifying the

misalignment of goals of the pricing and sales force compensation strategies as a

potential root cause of disappointing program outcomes. Essay 1 uses in-depth qualitative

interviews with business-to-business (B2B) salespeople and sales managers across

several industries to examine the nature and ramifications of strategic misalignment of

pricing and sales compensation approaches. Based on extant literature and insights from

the field, a series of potential relationships are proposed between pricing and sales force

compensation strategies. Essay 2 examines the effects of misalignment of goals of the

pricing and sales force compensation strategies on the salesperson’s expectancy,

instrumentality, motivation, and behavioral intention. A scenario-based experimental

design is used to test the hypotheses in Essay 2 based on data collected from salespeople.

v

The findings of this dissertation suggest that understanding the impact of the firm’s

pricing strategy on the salesperson is an unstudied yet critical factor influencing sales and

marketing program success.

Keywords: pricing strategy, sales force compensation strategy, marketing sales

interface, goal conflict, expectancy theory, motivation, behavioral intention

vi

Table of Contents

THE EFFECTS OF PRICING ON THE SALES FORCE AND THE FIRM:

A STRATEGIC VIEW..................................................................................................... i

Copyright ............................................................................................................................ ii

Signature Page ................................................................................................................... iii

Table of Contents ............................................................................................................... vi

CHAPTER 1 ....................................................................................................................... 1

Introduction ................................................................................................................. 1

Conceptual framework: Pricing and sales force compensation strategy ..................... 7

Background Literature ................................................................................................. 8

CHAPTER 2 (ESSAY 1) .................................................................................................. 21

EXPLORING THE EFFECTS OF PRICING ON THE SALES FORCE AND THE

FIRM: THE ADVERSE IMPACT OF STRATEGIC MISALIGNMENT ................... 21

Abstract ...................................................................................................................... 21

Research Method ....................................................................................................... 23

Propositions ............................................................................................................... 48

Discussion .................................................................................................................. 60

Future Research ......................................................................................................... 63

Conclusion ................................................................................................................. 64

References ................................................................................................................. 65

CHAPTER 3 (ESSAY 2) .................................................................................................. 73

THE EFFECTS OF (MIS)ALIGNED PRICING AND SALES FORCE

COMPENSATION STRATEGIES ON THE SALESPERSON ...................................... 73

Introduction ............................................................................................................... 74

Hypotheses................................................................................................................. 78

Methodology .............................................................................................................. 84

Pretest ........................................................................................................................ 88

Pretest Analysis ......................................................................................................... 91

Main Study ................................................................................................................ 99

Main Study Analysis ............................................................................................... 101

Discussion ................................................................................................................ 121

vii

Conclusion ............................................................................................................... 124

Limitations and Future Research ............................................................................. 125

References ............................................................................................................... 128

APPENDIX A ................................................................................................................. 135

APPENDIX B ................................................................................................................. 140

viii

LIST OF TABLES

Table Page

Table

1.1 B2B sales professionals .............................................................................................. 24

1.2 Illustration of codebook used for interviews .............................................................. 31

2.1 Scenarios ..................................................................................................................... 85

2.2 Pretest respondents per condition ............................................................................... 89

2.3 Pretest participant demographics ................................................................................ 89

2.4 Main study survey participation................................................................................ 101

2.5 Main study participant demographics ....................................................................... 105

2.6 Main study respondent per condition ........................................................................ 106

2.7 PCA Convergent validity report ............................................................................... 110

2.8 Discriminant validity test results .............................................................................. 111

2.9 Proportion of control variables per condition ........................................................... 113

2.10 Main study demographics ....................................................................................... 115

2.11 Hypothesis 3 results- Extrinsic motivation ............................................................. 119

2.12 Hypothesis 4 results- Behavioral intention ............................................................. 120

2.13 Hypothesis 4 Behavioral intention across scenarios ............................................... 120

2.14 Summary of main study hypotheses and tests ........................................................ 121

1

CHAPTER 1

INTRODUCTION

Poor financial performance of a business can be attributed to a variety of possible

reasons within sales and marketing, including failures of proper product development,

ineffective promotion, and misidentified target markets (Rouziès et al., 2005). The lack

of communication between marketing and sales also has been suggested as a root cause

of the problem (Hughes, LeBon, & Malshe, 2012; Cross et al., 2001; Maltz & Kohli,

1996; Strahle & Spiro, 1986). Indeed, the necessity for decisions to be coordinated

across marketing and sales has been underscored in previous research (Cespedes &

Piercy, 1996; Lawrence & Lorsch, 1986; Menon, Bharadwaj, & Howell, 1996).

Diagnosis of problems may be impeded, however, by the assumption that marketing and

sales strategies, in particular pricing and sales force compensation strategies, are

congruent and therefore aligned toward the same types of goals, such as market share

growth or profit maximization.

Despite significant research on dysfunctional relationships between marketing and

sales and the importance of cooperation and coordination between these two functional

areas (e.g. Homburg & Jensen, 2007), no prior studies in this domain have examined the

2

detrimental consequences of misaligned goals of the pricing and sales force

compensation strategies or the potential benefits to the firm of aligning these strategies.

Poor performance may be misdiagnosed because the true root of the problem, the

misaligned goals of the pricing and sales force compensation strategies, is undetected.

While suggestions for enhanced communication between the functional areas may be

helpful, poor performance may persist if the functional areas are not communicating

about the fundamental elements of strategy (Hutt, 1995; Malshe & Sohi, 2009; Menon,

Bhardwaj, Adidam, and Edison, 1999).

The marketing and sales functions are principally responsible for revenue

generation for the firm. In particular, marketing considers competitive pressures and

customer preferences when establishing the revenue per unit for a company’s products

and services through the pricing strategies. Similarly, the sales function determines the

forecasts for overall sales revenue and is accountable for achieving these goals. Hence, an

organization’s pricing strategy has a direct relationship with the creation and

implementation of an organization’s advertising and sales strategies (Homburg, Jensen, &

Hahn, 2012; Lancioni & Gattorna, 1993). When marketing and sales work well together,

the organization benefits. But when discord occurs between the functional areas, it

produces negative organizational effects (Cespedes et al., 1996; Dewsnap & Jobber,

2000; Strahle, Spiro, & Acito, 1996).

Problem Setting

The impetus for this dissertation emerged from a real-world problem that

businesses regularly face. Specifically, the situation that suggested the potential for this

3

dissertation occurred in a Fortune-250 B2B company in which misaligned goals of the

pricing strategy and sales force compensation strategy led to a series of ineffective

outcomes, in part because the true problem (misaligned goals) was never examined.

Consider the following example from the company: A supplier carries two brands within

a product line offering, Brand A and Brand B. The supplier’s salespeople sell the two

products with different brands to retailers. The marketing department of the supplier

organization implements a pricing strategy designed to grow the market share of Brand A

in a specific geographic area by offering the product at a discounted price for a limited

time. A similar strategy is not implemented for Brand B.

The marketing department set an initial period of three months for the discounted

price. Progress evaluations were to be held at the end of each month. At the end of the

first month, the discounted priced Brand A had lower sales than the previous month’s

sales when there was no discounted price. The reason was the sales force responsible for

selling the two products had de-emphasized selling the discounted product Brand A. As

a result of lower sales of Brand A, inventory levels remained high and the pricing

strategy objectives were not met. Marketing managers expected to sell more of Brand A

because of the discounted price, but this did not happen because of the lack of support of

the sales force.

The marketing department of the supplier grew anxious about failing to meet the

goal of growing marketing share within the targeted region and decided to offer an

incentive directly to the salespeople for each unit of Brand A sold. But the incentive

represented less than one percent of the sales force’s normal commission incentive rate.

4

As a result, at the end of the second month sales of the discounted product continued to

decrease from the norm and sales of the higher priced brand increased.

After a considerable amount of management input, the company decided to

increase the promotion of the discounted brand for the final month by adding a third daily

delivery time for retailers in the area to receive orders of Brand A. In contrast,

competitors in the same geographic area only offered two deliveries per day. This extra

service required that the supplier hire a driver and add another vehicle to the fleet.

Management believed that this extra service, coupled with the discounted price of Brand

A and the sales incentive to the salespeople would help to achieve the goal of growing

market share of Brand A.

At the end of the third and final month of the discounted price promotion, the

overall net result was a shift in sales from the discounted brand to the higher priced

brand. Moreover, the sales of Brand A did not support the cost of the driver or the

vehicle added for the additional delivery time. Follow up inquiries determined that

customers had established purchasing frequencies based on two deliveries per day and the

third daily delivery did not increase the overall volume of purchases. Instead, it merely

spread existing demand across three deliveries instead of two. After the three month

promotional pricing period, the supplier discontinued the third daily delivery.

Investigation into the failed three-month promotion yielded an unexpected result

for the supplier. The sales force compensation strategy of the company was based on

maximizing profit by paying the sales force commission based on gross margins. All

sales progress reports for the sales force were generated to show the contribution margin,

and not market share information. While profits in the area were trending up because

5

salespeople were selling more of the undiscounted Brand B, the pricing strategy to grow

the market share of Brand A failed, and the company did not meet its goals for the period.

It appeared, therefore, that the failure to align the pricing and sales force compensation

strategies was the reason the goal of increasing market share was not achieved.

Moreover, throughout the temporary discounted price period, the firm attempted to

modify the initial marketing strategy, but their efforts resulted in inefficiencies for the

firm and reduced goodwill with the firm’s customers. Unfortunately, even in highly

successful companies such as this Fortune-250 company, pressures to decide and act

swiftly often supplant careful consideration of the true root of problems.

Why might a firm’s pricing and sales force compensation strategies not be

aligned? There are two main reasons. First, marketing and sales may have different

orientations, with marketing being product-focused and sales being customer-focused

(Cespedes et al., 1996; Homburg et al., 2007). Moreover, these orientations may

encompass different, potentially non-overlapping facets of the environment. For example,

a product-focused orientation may lead the marketing function to consider the level of

research and development that went into the product creation, next generation products

on the horizon, or the positioning of the product within the firm’s product portfolio

(Rouziès et al., 2005; Ruekert & Walker Jr, 1987). In contrast, the typical customer-

focused orientation of the sales function may lead to an emphasis on the customer’s in-

house financial pressures, purchases of competing products of the supplier the customer

is considering, or attempts to meet the custom needs of the customer. These two different

lenses may result in different strategies designed to reach different goals, complicated by

6

the fact that the two strategies may be set in different divisions of the firm independently

of one another (Rouziès et al., 2005).

A second reason pricing and sales force compensation strategies may not be

naturally aligned is that the two strategies have different temporal influences (Cespedes,

1995; Cespedes et al., 1996; Homburg, Jensen, and Krohmer, 2008). For example, in the

heat of day-to-day competition, the pricing strategy, the quickest lever of the marketing

mix for organizations to adjust, often morphs in reaction to external forces, such as

changes from competitors, customers, suppliers, or even regulatory events. Adjustments

to pricing strategies can be considered short term because the frequencies may happen

annually or even many times within a year. In contrast, sales force compensation strategy

tends to be more stable, and guided by internally established goals, such as growing

market share in specific regions or product segments, or increasing contribution margin

profit (referred to as profit maximization) (Küster and Canales, 2011). For example,

through the process of evaluating the customer’s needs a salesperson would direct the

customer toward the most profitable product or service solution. These divergent

influences can result in a lack of goal congruence across the two strategies.

Purpose and Contribution

The purpose of this two-essay dissertation is to examine the impact the firm’s

pricing strategy may have on the sales force, and to determine the importance of

identifying goal misalignment of pricing and sales force compensation strategies as a

potential root cause of program failure. The dissertation takes a sales force-centric view

of misalignment by focusing on the effects of a firm’s pricing strategy on the sales force

and the salesperson. The overarching framework upon which this two-essay dissertation

7

is based is illustrated below. Essay 1 focuses on the core firm-level and functional-level

outcomes of the alignment of the pricing and sales force compensation strategies and how

these outcomes shape sales force behavior. The outcomes are identified using in-depth

qualitative interviews with B2B salespeople and sales managers across industries to delve

into the nature, identification, and ramifications of strategic misalignment. A series of

propositions are examined to determine the relationships between the extant literature in

pricing and sales force compensation, and perceptions from field interviews.

Conceptual framework: Pricing and sales force compensation strategy

Essay 2 focuses on identifying the effects of misaligned goals of the pricing and

sales force compensation strategies on the relationships among the salesperson’s

8

expectancy, instrumentality, motivation, and behavioral performance. A scenario-based

experimental design was used to test the hypotheses in Essay 2.

The contribution of this research is three-fold. First, the marketing-sales interface

literature will be extended by identifying the importance of aligning the goals of the

pricing and sales force compensation strategies. Specifically, the dissertation will

examine the degree to which this key, though perhaps overlooked, joint-planning activity

needs to be addressed for a firm to be successful. Second, the models of selling success

are enhanced by determining the nature of the dependency of the sales function upon the

alignment of pricing and sales force compensation strategies. Third, the areas in which

misaligned pricing and sales force compensation strategies can affect salesperson

performance through the salesperson’s motivation will be described.

BACKGROUND LITERATURE

This dissertation draws upon three general bodies of literature that are

traditionally treated separately: the marketing-sales interface, pricing strategy, and sales

force management. From the intersection of these domains, this dissertation examines

propositions related to the effects of the misalignment of pricing and sales force

compensation strategies on the organization (Essay 1), and develops and tests hypotheses

relating to the interaction and impact of these two strategies on the salesperson (Essay 2).

The key background literature that provides a foundation for this dissertation is presented

in this section.

Marketing-Sales Interface

Extant literature defines the marketing-sales interface as the relational

interdependence between marketing and sales as an environment where the functionality

9

of one group is contingent on the other (Cespedes et al., 1996). Scholars in the sales

domain have suggested that “in most companies, marketing and sales organizations are

separate functions with different perspectives on how best to manage customer

relationships” (Bradford et al., 2010, p. 248). Moreover, these different perspectives can

be a major obstacle to managing joint activities across the two functions (Bradford et al.,

2010; Homburg et al., 2007). In their research on the effects of the marketing-sales

disconnect on effective marketing communication programs, Smith, Gopalakrishna, and

Chatterjee (2006, p. 577) highlight the “crippling disconnect between the marketing and

sales functions within many organizations, resulting in large amounts of wasted

expenditures and energy for the firm”. Existing research on the marketing-sales interface

is important for this research because product pricing strategies generally originate from

the marketing department, whereas sales force compensation strategies are developed by

the sales department. While these two departments often operate in functional silos, as

boundary spanning units, both marketing and sales have access to competitor and

customer information that can be vital to the success of each department and the

organization overall (Hult, 2011).

The definitions of interface integration in previous literature are varied yet have

basic tenets, including quality of cooperation, frictionless collaboration, and a unity of

efforts toward a coordinated goal (Homburg et al., 2007). Research by Rouziès et al.

(2005) defines interface integration as the supportive coordination of the sales and

marketing functions such that the activities complement each other and facilitate goal

achievement for both areas. Similarly, Homburg et al. (2008) describe interface

10

integration as the extent to which there is a state of collaboration between marketing and

sales that is characterized by unity of effort and harmony (Lawrence et al., 1986).

Previous research has identified benefits of a strong marketing-sales interface,

including perhaps the most obvious, the creation and maintenance of a market orientation

(Le Meuneir-FitzHugh & Piercy, 2011). Other research has shown that a strong cross-

functional interface positively affects satisfaction in working with other departments,

project success and performance (Kahn & McDonough, 1997; Troilo, DeLuca, and

Guenzi, 2009). Importantly for this research, the benefits of cooperation within the

marketing-sales interface during the strategy creation stage are positively related to

successful strategy creation and implementation (Homburg et al., 2008; LeMeunier-

FitzHugh et al., 2011). In contrast, inhibitors of a strong interface between marketing and

sales include goal conflicts, unidimensional perspectives, and strong in-group identities

(Dewsnap and Jobber, 2002; Menon et al., 1999; Ruekert et al., 1987).

The cross-functional literature suggests that collaboration between functions

involves collectively creating, choosing, and implementing strategy such that

departments work to achieve goals harmoniously under the firm’s unified vision with

shared ideas and resources (Hughes, Le Bon, & Malshe, 2012). Typically, however, the

studies have been broad-based and not pinpointed the specific strategies that need to be

aligned, the conditions under which strategy misalignment may be masked, or the

ramifications of strategy misalignment that may ripple throughout the organization.

Marketing and sales strategy

Varadarajan (2010) places strategic marketing at the firm level. It involves,

therefore, a large commitment of firm resources spread over a relatively long term. At

11

the business level, marketing strategy involves an integration of choices and activities

pertaining to products and markets and the utilization of marketing resources for the

creation, communication, and delivery of value to customers (Varadarajan, 2010). Thus,

marketing strategy goals are focused on the business unit but achievement of unit goals

also benefits the firm (Varadarajan, 2010).

The concept of alignment of strategies used in this research bridges the

Varadarajan (2010) definition of marketing strategy with a definition representing the

marketing-sales interface integration proposed by Kahn et al. (1997). The goal of each

strategy, which is a unified vision (Kahn et al., 1997), must be clearly communicated to

facilitate alignment between marketing and sales. Therefore, the alignment of marketing

and sales strategies involves planning, creating, choosing, and implementing activities

and resources such that these efforts are in concert and become focused on the same goal.

Communication

Factors that contribute to marketing-sales interface integration include both

formal and informal communication and the efficient flow of information (Dewsnap et

al., 2000; Fisher & Maltz, 1997; Ruekert et al., 1987). The sales force is expected to

collect information regarding customer requirements, competitive pricing, and other

competitive activities (Cross et al., 2001; Dewsnap & Jobber, 2000). Some shared

information from marketing to sales would include the competitive analysis of products,

packaging features and benefits, and changes in pricing strategies (Rouziès et al., 2005).

Caution is warranted with regard to arbitrarily increasing communication to the point of

counterproductive overload, with the result being decreased integration (Maltz et al.,

1996; Rouziès et al., 2005). According to Rouziès et al. (2005), increased emphasis on

12

integrated marketing communications, and coordination of marketing mix activities, is

aimed at improving outward communication to the customer, but largely ignores the

internal sales force. But efficient and effective bidirectional communication is crucial

during the strategy creation and implementation stages to avoid conflicts of outcomes and

goals. Thus, communication in and of itself is insufficient. Instead, communication must

occur about the “right” elements of strategy.

Pricing Strategy

Pricing strategy is a marketing strategy (Varadarajan, 2010). The communication

and signaling of an organization’s pricing strategy affects the distribution channel, which

includes competitors and customers, as well as the internal sales force. However, the

effects of pricing strategy on the sales force have been established only anecdotally

(Lancioni et al., 1993; Strahle et al., 1996). Competitive market response to a pricing

communication or signal may be retaliatory behavior involving a price war, or

cooperative behavior in which the competitor raises prices to the new established referent

price (Ramaswamy, Gatignon, & Reibstein, 1994; Palazon and Delgado-Ballester, 2009;

Gu, Kim, Tse, & Wang, 2010).

Considerable literature focuses on customer responses to a pricing strategy. Some

examples of these responses include changes in perceptions of value (Munnukka, 2006;

Sharma & Iyer, 2011), in perceptions of quality (Tellis, 1986; Jacobs, Ratliff, and Smith,

2010), and in demand (switching) (Holden & Nagle, 1998). An important contribution

of this domain of literature is the awareness that the price of an item “enters either as an

attribute in the evaluation stage of the choice process or as a constraint in the ultimate

choice,” (Rao, 1984, p. 41). The significance of price and quality is emphasized across

13

consumer choice strategies (Tellis & Gaeth, 1990). Moreover, price is also underlined in

high quality brand choice strategy as consumers continue to maximize value by

evaluating the quality against the price paid.

In general, the typical pricing strategy has a long-term orientation and requires

periodic choices between maximizing profit margins and increasing/protecting market

share (Lancioni et al., 1993; Rao, 1984; Tellis, 1986). To increase market share,

companies may choose the fast approach of buying market share through deeply

discounting the price, or the slower approach of gaining and holding market share by

adding value or service at no additional charge to the customer (Lancioni et al., 1993).

Regardless of the approach, growing market share represents a trade-off against

maximizing profit margins.

On the other hand, a pricing objective of profit maximization includes activities

that focus on identifying the market price or the highest price the customer is willing to

pay, and then establishing and maintaining that price level (Nagle, 1983; Nagle & Hogan,

2007). With a profit maximizing approach, a company typically identifies similar

customer groups and offers levels of pricing based on transparent customer buying

thresholds (Nagle, 1983; Nagle & Cressman Jr, 2002).

Pricing and the Sales Force

When the domains of pricing and sales force behavior have been connected, it has

been through the choice of whether an organization should centralize pricing decisions or

delegate those decisions to the sales force (Lal, 1986; Stephenson, Cron, & Frazier, 1979;

Weinberg, 1975). However, the norm within the literature is that the goals of the pricing

strategy are set by the marketing department and sales force decision-making is limited to

14

determining the degree to which prices may be negotiated (Lal, 1986; Mishra & Prasad,

2004, 2005).

The price delegation literature assumes the firm has a profit maximizing goal, and

in order to award any authority, the sales force must be compensated on realized gross

margins to ward off any suboptimal trade-off between effort and price (Joseph, 2001;

Weinberg, 1975). Prior literature has suggested that the information asymmetry concern

on which the delegation decision was founded may be resolved through effective

contracts between the sales force and the firm, thereby negating the need for a delegation

decision (Hansen, Joseph, & Krafft, 2008; Mishra et al., 2004, 2005; Stephenson et al.,

1979). Although the price delegation literature explores relevant managerial issues and

offers an initial connection between pricing and the sales force, to date the domain has

neglected addressing pricing strategy as a marketing strategy with multiple business unit

level components and ramifications. Further, the price delegation literature deems only

one sales force compensation method to be optimal, and does not consider the multiple

possible objectives of the sales force compensation strategy.

Sales Force Management

The sales force management literature focuses on ways to improve sales force

performance by identifying a series of activities that are involved in the selling process

(Churchill, Ford, Hartley, & Walker, 1985; Walker, Churchill, & Ford, 1977; Weitz,

Sujan, & Sujan, 1987). In the seminal research by Walker et al. (1977), the authors used

Vroom’s expectancy theory to explore the determinants of salesperson performance

(Oliver, 1974; Vroom, 1964). The findings of Walker et al. (1977) suggest that the link

between perceived effort and performance (effort-performance expectancy) and the

15

perceived link between performance and reward (outcome-instrumentality) are

antecedents to salesperson motivation (DeCarlo, Teas, & McElroy, 1997). Sales force

motivation is an antecedent to salesperson performance (Oliver, 1974; Tyagi, 1982). The

elements found to influence sales force effort, motivation, and therefore performance,

include characteristics of the organizational context and characteristics of the control

system of which compensation is a part.

Organizational Characteristics

The organizational context variables that can affect sales force motivation and

performance include management practices and policies (Walker, Jr, & Ford, 1977). The

responsibilities of and expectations for a salesperson should be clearly communicated

through management practices and policies (Churchill, Ford, Hartley, & Walker, 1985;

Teas, 1981). Typically, the objectives and expectations of the sales force compensation

strategy are well communicated to the sales force. Clearly communicating the

company’s pricing policies and expectations to the sales force may seem intuitive

however the challenges of creating a pricing policy given product or service cost

characteristics, communicating the price to the market, watching for market responses,

and monitoring the outcomes (profit maximization or market share growth) are the

principal foci of pricing literature and pricing professionals (Anderson, Wouters, & van

Rossum, 2010; Dolan, 1987; Feldman, 2005; Tellis, 1986; Voss, Parasuraman, & Grewal,

1998). Nagle et al. (2002) make the case that although inconsistent pricing decisions

occur in order to resolve short-term issues they also produce long term repercussions that

include “conflict not only within the firm, but also between the firm and customers who

become aware of the inconsistency” (p. 31). Unclear or inaccurate expectations are

16

detrimental to sales force motivation. Setting high expectations will manifest perceptions

of conflict when those expectations are not met (Maltz & Kohli, 2000). Intentional

miscommunication between marketing and sales regarding product strategies has been

noted in previous research. For example, Strahle, Spiro, and Acito (1996) note, “Several

marketing executives admitted misleading their sales managers about products to keep

them pushing volume” (p. 14). This research suggests that the lack of clearly

communicated pricing strategy expectations is an indicator that the pricing and sales

force compensation strategies may be misaligned.

Central to expectations is how a salesperson perceives his/her role. Role

perception, as described in (Walker, et al., 1977), “includes role accuracy, perceived role

ambiguity, and perceived role conflict; all three variables are related to the salesperson’s

perceptions of his role partners’ expectations and demands” (p. 159). The lack of clarity

regarding job expectations and the criteria on which performance is evaluated contribute

to a salesperson’s role ambiguity (Miles & Perreault Jr, 1976). Misaligned pricing and

sales force compensation strategies are a source of negative role perceptions for the sales

force.

Role accuracy, as defined by Walker et al. (1977) pertains to the quality and

precision with which the salesperson understands the demands expected of them by the

supervisors. Perceived role ambiguity occurs when a salesperson feels information

asymmetry is constraining her/his ability to adequately meet performance expectations.

Role ambiguity is associated with confusion and uncertainty for the salesperson (Walker

et al., 1997) and it is negatively related to the salesperson’s effort instrumentality (Singh,

1998) and behavioral performance (Miao & Evans, 2007). Singh (1998) found that sales

17

force role conflict, role ambiguity, and role overload influence job tension, turnover

intentions, and performance. In situations of high role ambiguity, as when the strategies

are not aligned, the salespeople get mixed messages as to what activities, behaviors, and

job tasks will be most effective in accomplishing performance goals (Jaworski & Kohl,

1991). Moreover, the salesperson is confused as to the hierarchy of expectations, how

expectations should be met, and what criteria will be used to evaluate performance

(Walker, et al., 1977).

Research by Pritchard and Sanders (1973) found that role perceptions, external

constraints, and ability to accomplish objectives contribute to the salesperson’s

perceptions that an increase in effort would not increase performance. In some instances,

the salesperson may perceive the effort required to positively affect performance to be so

high that it is beyond his or her capacity.

A salesperson perceives a conflict with their role when they are required to meet

multiple concurrent but incongruous demands (Churchill, Ford, & Walker, 1976; Tyagi,

1982; Walker, 1977). The boundary spanning role of the sales force significantly

contributes to perceived role conflict as the salesperson is trying to satisfy both their

external customer and internal managers (Evans, Margheim, & Schlacter, 1982).

Perceived role conflict has been found to reduce salesperson confidence and his or her

ability to meet expectations, although did not significantly influence salesperson

motivation (Churchill et al., 1976; Evans et al., 1982).

Role conflict can be resolved and behavior predictability increased when

managers unify strategy goals and operational activities (Menon et el., 1999). In agency

theory, uncertainty is managed by balancing risks and rewards through the use of

18

compensation contracts (Eisenhardt, 1988). In general, strategies that are not aligned with

the sales force compensation strategy contribute to increased perceived risk, uncertainty,

and role conflict for the salesperson. Because of the high informational content of pricing

strategies and the fact that pricing is a key selling tool, it is possible that the misalignment

of the pricing and sales force compensation strategies in particular will be a significant

contributor to salespersons’ role conflict, and ultimately a detrimental influence on their

perception of required effort. However, these specific relationships have not been

explored in the literature. This dissertation will examine these relationships and further

propose that aligning the pricing and sales force compensation strategies toward

congruent goals will positively influence the salesperson’s perception of effort,

instrumentality, and motivation.

Sales Force Control Systems

Agency theory is the foundation of much of the sales force control systems

research that focuses on improving sales force performance (Anderson & Oliver, 1987;

Shipley & Jobber, 1991; Misra, Coughlan, & Narasimhan, 2005; Hoskisson, Castleton,

and Withers, 2009). A control system, as defined by Anderson et al. (1987), “is an

organization’s set of procedures for monitoring, directing, evaluating, and compensating

employees” (p. 76). In an effort to improve firm performance, the goals of the sales force

compensation strategy are typically related to the firm’s objectives (Coughlan & Sen,

1989). The organization’s control systems are designed to solve two issues at the heart of

agency theory: the difficulty in monitoring sales force behavior and the need to mitigate

varying attitudes toward risk (Eisenhardt, 1989).

19

Research by Anderson et al. (1987) classifies sales force control systems into

outcome-based and behavioral-based systems. Outcome-based control systems consist of

commission-based compensation tied to performance quotas that are aligned with the

firm’s performance objectives (Anderson et al., 1987). The benefits to the organization

of an outcome-based control system include transferring risk from the organization to the

sales force and reducing the managerial resources needed to measure sales force inputs

(Anderson et al., 1987; John & Weitz, 1989; Lo, Ghosh, and LaFontaine, 2011).

However, the relatively low levels of direct managerial control featured in outcome-based

control systems may increase salespersons’ role ambiguity and exacerbate his or her

perceptions of the transferred risk, resulting in an increase in stress and turnover

intentions (Singh, 1998).

The characteristics of the behavior-based control system include a salary-based

compensation and the infrastructure for monitoring and controlling sales force inputs

(Anderson et al., 1987; Piercy, Cravens, and Lane, 2012). One benefit to the organization

of a behavior-based control system is increased managerial control, or the ease with

which the organization can direct the sales force to “perform certain behaviors as part of

the company strategy without the necessity of convincing each salesperson that the

strategy is valid” (Anderson et al., 1987, p. 78).

The more comprehensive the behavior-based compensation program the more

likely the manager will measure performance only on a limited amount of qualitative

criteria (Anderson et al., 1987). Performance evaluations of behavior-based

compensation programs are based on subjective ratings of the sales manager, which may

be perceived as unfair as increased effort may not be rewarded (Anderson et al., 1987).

20

The successful execution and evaluation of the company’s pricing strategy depends upon

the behaviors and performance of the sales manager and sales force (Lancioni et al.,

1993). Again, given the high informational content of the pricing strategy and the

importance of price as an instrument of sales, it is interesting to note that the sales force

performance literature has not explored how the organization’s pricing strategy

influences the salesperson’s perception of risk. This study will explore the extent to

which the alignment of the pricing and sales force compensation strategies toward

congruent goals might lower the salesperson’s perceived risk.

21

CHAPTER 2 (ESSAY 1)

EXPLORING THE EFFECTS OF PRICING ON THE SALES FORCE AND THE

FIRM: THE ADVERSE IMPACT OF STRATEGIC MISALIGNMENT

ABSTRACT

While the marketing strategy implementation literature suggests that collaboration

between the marketing and sales areas may ensure successful implementation of a firm’s

strategy (Malshe & Sohi, 2009), pricing and sales force compensation strategies have not

been directly linked together in a research study. Pricing and compensation have been

identified separately as possible problem domains for agency issues where the principal

and the agent have different goals and risk preferences (Eisenhardt, 1989) and areas

representing conflict for top management teams (Bourgeois & Eisenhardt, 1988). When

pricing and the sales force have been examined together, it has been to answer the

question: “Under what compensation system is it appropriate for a salesman to have

control over price?” (Weinberg, 1975, p. 937). However, the pricing delegation literature

does not address marketing components such as product and promotion management of

which pricing is a key element. This study fills a void in marketing literature by

investigating the detriments of misalignment, as well as the benefits of alignment of the

22

pricing and sales force compensation strategies in relation to the salesperson, the

marketing-sales interface, and the performance of the firm.

This research originated from a real-world problem that businesses regularly face.

The problem setting referenced in Chapter 1 occurred in a Fortune-250 B2B company.

The reasons for the failed marketing strategy were misattributed to other causes, and the

firm did not look to the misalignment of goals as a potential source of the problem. The

pricing and sales force compensation strategies are the two revenue generating strategies

for a company. While it would seem logical for managers to align the goals of these two

strategies, the reality is that organizations are often outward focused and reacting to

changes in the structure of the industry. The challenge for managers is to develop an in-

house concentration where goal alignment is deliberate, and the benefit of goal alignment

is improvement in firm performance.

Misalignment of the pricing and sales force compensation strategies can affect

the sales force by creating ambiguous roles for the sales force as they experience

confusion and uncertainty as to which activities are actually required to meet

performance expectations. Multiple concurrent goals can create a conflict in roles for the

salesperson trying to satisfy the external customer as well as the internal customer, the

marketing and sales managers (Miles & Perreault Jr, 1976). Conflicting goals increase

the salesperson’s perception of risk. In an attempt to achieve a multitude of goal

expectations the salesperson may, therefore, lose sight of the preferred role and goal of

the selling organization. The purpose of this essay is to explore the existence and

ramifications of misaligned goals of the pricing and sales force compensation strategies.

23

RESEARCH METHOD

As the nature of this research is exploratory, given the lack of literature on pricing

and sales force compensation goal alignment, a qualitative, grounded theory approach

was appropriate (Flint, Woodruff, & Gardial, 2002). A qualitative data collection method

of in-depth interviews is appropriate for obtaining a first-hand (key informant) account of

a phenomenon (Strauss & Corbin, 1990). The phenomenon of interest in this dissertation

is the effects of misaligned goals of the pricing and sales force compensation strategies.

Through the process of inductive reasoning, this research develops an understanding of

how misaligned goals negatively affect salesperson behavior, the sales force, and

organizational resources and communication. “Inductive reasoning is a type of thinking

that involves identifying patterns in a data set to reach conclusions and build theories”

(Hair Jr., Celsi, Money, Samouel, & Page, 2011, p. 276). The literature by Strauss et al.

(1990) establishes the primary criteria for the grounded theory approach guiding this

research. The criteria include an explanation of how and why the sample was chosen,

how the theoretical formulations guided the evolution of the protocol and data collection,

and how predominant and representative the concepts were.

Sample

The purposive (judgment) sample chosen for this research is the B2B sales

professional. A purposive sample is one representing elements unique to the research

interest and “are chosen because the researcher believes they represent the target

population, but they are not necessarily representative,” (Hair Jr., et al., 2011, p. 175).

This sample was chosen in a deliberate and non-random manner. The B2B sales manager

and the salesperson are intimately familiar with the process of enacting a firm’s pricing

24

policies to their customers and achieving sales force compensation goals. Elements

unique to the sample in this research include: 1) sales professionals who were responsible

for a range of customers, not just one key account, and 2) the salespeople who were

responsible for administering the firm’s pricing strategy yet had limited pricing authority

(with upper management approval only). The total sample of 15 sales professionals

included seven sales managers and eight salespeople. There was one instance in which

the salesperson and his/her manager were both interviewed. Table 1.1 details the sample

used in this dissertation. The details of the two phases of data collection are to follow in

the data collection section (Phase One = 8 interviewees and Phase Two = 7 interviewees).

Table 1.1. B2B sales professional

Count

Objective (n=15) Percentage

Job Title Sales Manager 7 46.70%

Salesperson 8 53.30%

Sales Experience < 5 years 1 6.70%

6-10 years 2 13.30%

11-15 years 1 6.70%

> 16 years 11 73.30%

Current Job Experience < 5 years 12 80.00%

6-10 years 1 6.70%

11-15 years 0 0.00%

> 16 years 2 13.30%

Commission Compensation 0% 2 13.30%

1-5% 7 46.60%

6-25% 3 20.00%

26-50% 1 6.70%

51-75% 0 0.00%

76-100% 2 13.30%

25

Table 1.1 continued.

Misaligned Goals

(pricing & sales force

compensation)

yes 7 46.70%

no 8 53.30%

Gender Female 5 33.30%

Male 10 66.70%

Overall, this group of sales professionals had many years (Mean = 21 years) of

sales experience, however relatively few years (Mean = 4.7 years) of experience with

their current employer. Only one salesperson in the sample had 0-5 years of experience

in the sales profession. There were two individuals (13.3%) who had 6-10 years of sales

experience. One individual (6.7%) had 11-15 years sales experience. The majority, 11

(73.3%) of the sales professionals had greater than 16 years of experience. Experience

with the current employer yielded differing results with 12 sales professionals (80%)

working for their current employer for 0-5 years. There was one individual who had 6-10

years of tenure with their current company. Only two sales managers had greater than 16

years of experience with the current employer. The majority (66.7%) of sales

professionals were males.

When the sales managers recounted the percent of annual salary that is

commission for the sales force they did so from a company perspective by reporting on

how the sales force in general is compensated. The salespeople interviewed reported their

individual percent of annual salary that is commission. To avoid confusion, all of the

commission percentages are reported from a company perspective. There were two

(13.3%) companies that compensated salespeople solely on a salary basis. For the

26

majority (46.7%) of companies, commission comprised 1% to 5% of annual salary for the

sales force. The percent of annual salary that is commission ranged from 6% to 25% for

three (20.0%) of the companies that participated in this study. One sales organization

(6.7%) offered commission between 26% and 50% of annual compensation.

Commission percentages ranging from 76% to 100% occurred in only two (13.3%) sales

organizations.

Interestingly, when the sales professionals were asked “Have you ever faced a

situation in which the way the company priced and promoted its products did not match

with your [your sales force’s] incentive/compensation structure?” the responses were

“yes” from seven (46.7%) sales professionals and “no” from eight (53.3%) sales

professionals. The response to the misalignment question differed in the interview with

the sales manager and the direct report at the same company. The salesperson stated,

“Yes.” The sales manager replied, “No.” The sales manager did concede that the pricing

strategies for some products, relative to how the salesperson is paid, meant that the

salesperson “needs to go out and work harder.”

Context

The context of this study is companies in B2B markets. Manufacturing or

industrial sales and sales to wholesalers are subsets of B2B markets. Research by Weitz

(1978) states “Industrial sales situations are characterized by a relatively high level of

involvement by both the salesperson and customer and a continuing relationship between

both parties of the interaction” (p. 514). The sales professionals interviewed for this

research sell in B2B markets and include both industrial sales and sales to wholesalers.

Sales situations involving sales to wholesalers and distributors are characterized by large

27

volume orders, downward pressures on price, and a trend towards the commoditization of

products (Draganska, Klapper, & Villas-Boas, 2010; Kopalle et al., 2009). The sales

professional’s role in B2B markets is critical to the success of the selling organization.

Data Collection

Prior to the pilot interviews, roundtable discussions with salespeople were

conducted to confirm the nuances of the selling environment, as well as the nomenclature

of the interview protocol. Once the initial interview protocol was established, the data

collection began. Data collection was completed in two phases. The first phase involved

a pilot study with sales managers and salespeople from several industries (insurance and

financial services, automotive aftermarket, B2B consumer electronics, and recreational

sports equipment). The target sample size for this phase was eight interviews: four sales

managers and four salespeople. Research by Guest, Bunce & Johnson (2006) suggests

that when using a purposive and relatively homogeneous sample that six to twelve

interviews can provide quality information. The eight transcribed interviews for the pilot

phase provided saturation on occurrences of misaligned goals and unique effects on the

sales force and the organization. A further discussion of the findings is addressed in the

analysis section.

Telephone interviews lasting forty-five minutes to one hour were held with each

salesperson or sales manager. The sales professionals were asked a series of questions

about how their company established prices and how their sales compensation package

was constructed (the protocol is provided in Appendix A). A series of open-ended

questions were asked to elicit possible misalignment of the goals of the pricing and sales

compensation strategies. The objectives for Phase One were: 1) to better understand

28

whether and how misalignment of the goals of the pricing and sales compensation

strategies may occur, and 2) to refine the interview protocol.

The pilot interviews began in November of 2011 and were finished in December

of 2011. A review of each audio file was done while the files were being professionally

transcribed. Once the transcribed files were completed the text files were read while

listening to the audio files to ensure transcription accuracy. The pilot interviews were

coded and segregated into the key concepts. The protocol was continually refined to

facilitate specificity, range and definition of each concept (Corbin & Strauss, 2008).

Phase Two interviews began in July of 2012 and finished in February of 2013.

The target sample size for Phase Two was a total of seven interviews: three sales

managers and four salespeople. Saturation of the data continued in Phase Two. The

protocol did not change after September 2012.

Interview Protocol

In-depth interviews with semi-structured protocols are especially useful in

uncovering complex processes, and provide a degree of relevancy to the topics under

investigation (Bartholomew, 2000). In the B2B marketing literature, in-depth interviews

have been used effectively in contexts in which limited research has been conducted

(Flint, Woodruff, & Gardial, 2002; Madhavan & Grover, 1998; Tuli, Kohli, &

Bharadwaj, 2007; Ulaga & Eggert, 2006). Importantly, the semi-structured interview

protocol affords greater flexibility to prompt and probe into a given situation

(Bartholomew et al., 2000). Since this dissertation explores the complex sources of

misalignment of goals that are created in different divisions of the organization and the

29

implications of this misalignment, the use of a structured, in-depth-interview approach is

especially well suited to the context.

The goals of the interviews were to identify a) sources of incongruent goals of the

pricing and sales force compensation strategies within organizations, b) behaviors of

salespeople that result when the goals were incongruent, c) inefficient use of

organizational resources, and d) ineffective communication as a result of incongruent

goals of the pricing and sales force compensation strategies.

Corbin & Strauss (2008) state that “The original question in a qualitative study is

often broad and open-ended. It tends to become more refined and specific as the research

progresses and the issues and problems of the area under investigation are defined” (p.

41). The specificity and range of these concepts was enhanced with changes to the

protocol. For example, in the initial protocol, the question used to identify the

motivational influence of a firm’s pricing strategy was “Can you tell me about a time

when you felt any more or less motivated to sell/perform by price structure, price

changes, or other things out of your control?” In the first interview, the response from the

sales professional confirmed a situation where the selling company changed brands of a

product and increased their selling price to the market by 20 percent.

The sales manager, TW13 stated, “It was a tough sell for the salespeople

because it was such an increase in cost to the customer and the

salespeople could not envision [the customer paying that much for this

new brand].” The sales manager went on to say, for him “It was a hard

struggle to educate the sales force and the customer as to why the price of

this new brand of product was increased so much higher than the

originally offered brand of product.”

After this interview, the original question in the protocol was followed with a

question regarding the concept of customer satisfaction which asked “When you look at

30

product pricing, how does price affect the amount of customer satisfaction you have

established [your sales force has] to sell a product successfully?” In addition, a question

was added to inductively probe for situations where the salesperson’s perceived risk of

being unsuccessful was affected as a result of a pricing strategy. The extended question

was framed as “In general, how does your organization’s pricing approach affect your

[your sales force’s] ability to sell effectively? Does it cost you sales/customer

satisfaction? <Probe for either positively or negatively. Probe for examples of

salesperson risk or perceived effort.>.” In Appendix A, the original protocol is

displayed in regular text and the changes are listed in bold, italicized text.

In accordance with a grounded theory approach, this dissertation “should help the

reader to assess some of the components that emerged from the actual research process”

(Corbin & Strauss, 1990, p. 16). Table 1.2 illustrates the codebook that was created

using an iterative process as suggested by Guest et al. (2006). In this process, each code

has four parts: 1) a full definition that explains the concept; 2) a “when to use” section

that gives instances, based on the data, of how to identify the concept; 3) a sample of a

quote extracted from the data representing the concept; and 4) respondent interviews that

have occurrences of this specific concept.

Interrater Reliability

After the interviews were conducted and transcribed, two judges worked

independently to code a random subset of the transcripts for common themes. The coders

then discussed the major themes and defined each theme based upon mutual agreement.

The judges then independently coded each transcript for the presence of the main themes.

All disagreements among the judges were resolved by discussion. Intercoder reliability

31

was assessed using the established procedures of Rust and Cooil (1994). The resulting

interrater reliability score was .89, exceeding the .70 threshold for acceptable reliability.

Table 1.2. Illustration of codebook

Table 1.2. Illustration of codebook used for interviews

Concept Definition When to use Sample of coded item

Respondents with

occurences of the

concept

Misaligned goals

The goal of the pricing strategy

(either profit maximization or

market share growth) is

incongruent with the goal of the

sales force compensation

strategy (either profit

maximization or market share

growth).

Two different goals for the pricing and

sales force strategies exist. Code

associated with this concept: Goal

conflict.

"Unfortunately, it’s more to the

customer’s benefit because in this market

we’re always being pushed down on

price. I like my prices to be high and I like

the margin to be there [where I need it] ."

(KB6)

EJM4, KB6,MR7,

MQ8, PS9, SD11,

TE12, TW13, TA14,

Adverse selling

behaviors of the

salespeople

The negative activities that

salespeople conduct during the

selling process.

When the sales professional engages in a

tactic or activity during the selling process.

Examples include: planning, not performing

job responsibilities, and gaming the system.

Codes associated with this concept:

effect of pricing on sales performance,

multiple goals, offsetting noncompetitive

prices with other resources, customer

relationship building, and sales person role

conflict.

"If the product sales amount was too

small, even though it is new business, I

don’t get compensated… I am not

motivated to sell that product. " (DL3)

BR1, CS2, DL3,

EJM4, JG5,

KB6,MR7, MQ8, PS9,

RS10, SD11, TE12,

TW13, TA14, WW15

Sales force

perceived effort to

be successful

The salesperson's anticipated

amount of cognitive and physical

energy and time required for a

job task.

When the sales professional suggests that

his/her effort has been or will need to be

increased or decreased. Codes

associated with this concept: effort,

motivation, sales effort (perceived), sales

force performance, sales person role

conflict, sales professional helplessness no

control, trust.

"This situation requires a great deal more

effort on the part of the sales manager, to

educate the sales force, and for the sales

force to educate the customers on why

they should buy this new brand and pay

more." (TW13)

BR1, CS2, DL3,JG5,

EJM4, KB6, MR7,

MQ8, PS9, RS10,

SD11, TE12, TW13,

TA14, WW15

Perceived risk of

being unsuccessful

The perceived degree of

relationship a person sees

between his/her actions and

liklihood of not achieving the

desired outcome.

When the sales professional perceives that

their ability to perform and achieve the

desired level of accomplishment has been

compromised. Codes associated with

this concept: instrumentality, perceived

risk- ability to be competitive, perceived

risk of achieving a goal, price adjustments,

sales force performance, organizational

resources

"Even with 90 percent of market share

you still have to be careful with pricing.

If you open the door for your competitors

to come in, you will be screwed. You will

lose customers [and everything else] and

then you will regret having administered

the price increase ." (SD11)

BR1,CS2, DL3, EJM4,

JG5, KB6, MR7,

MQ8, PS9, RS10,

SD11, TE12, TW13,

TA14, WW15

32

Table 1.2 continued

Key Emergent Concepts

The following seven concepts emerged from the data as being affected by

misaligned pricing and sales force compensation goals:

selling behaviors of the sales force;

perceived effort by the salesperson;

perceived risk of being unsuccessful;

cost of monitoring sales force outcomes;

Table 1.2 Continued . Illustration of codebook used for interviews

Concept Definition When to use Sample of coded item

Respondents with

occurences of the

concept

Cost to monitor

sales force

outcomes

The use of resources as they

relate to managing, monitoring,

or evaluating sales force tactics,

activities, and outcomes. .

When the sales professional indicates a

monitoring, reporting or evaluative process.

These included both planned and

unplanned. Codes associated with this

concept: cost of monitoring sales,

monitoring sales, promotion non-price

related, sales person perk

"The computer will not let the salesperson

enter an order or sell something cheaper

than the established price. The

salesperson has to get a manager to sign

off on something like that; especially, if

you are trying to do a favor for a

customer [that is on a higher price

level] ." (TW13)

BR1, CS2, DL3,

EJM4, LG5, KB6,

MR7, MQ8, PS9,

RS10, SD11, TE12,

TW13, TA14, WW15

Use of

organizational

resources

The inefficient and unauthorized

use of organizational resources,

and loss of tangible and

intangible resources.

When the sales professional indicates an

inefficient or unauthorized distribution of an

organizational resource. Codes

associated with this concept: offsetting

noncompetitive prices with other resources

"A salesman who is paid commission to

sell volume, has a product that’s high-

priced and to try to get a customer to buy

at the higher price, they throw in free

freight or they throw in terms, or they

scrounge around and find something

throw in to offset the high price. It

happens every day. " (WW15)

BR1,CS2, JG5, KB6,

MR7, MQ8, PS9,

RS10, SD11, TE12,

TW13, WW15

Quality of

Organizational

Communication

Quality of communication is the

interpersonal, transactional,

symbolic process by which

individuals achieve and maintain

understanding.

When the sales professional represents the

selling organization in a message. When an

organization communicates to the market.

When the quality of communication

between the sales and marketing

departments is mentioned. Codes

associated with this concept: Customer

relationship building, external

communication, goal conflict, internal

communication, organizational

communcation

"A couple of years ago, when I was with

my other company, we had price changes

three or four times a year. It was really

uncomfortable to call the customer to tell

them, “Guess what, we are going to

change the prices, AGAIN .” (PS9)

BR1, CS2, DL3, JG5,

KB6, MR7, MQ8,

PS9, RS10, SD11,

TE12, TW13, TA14,

WW15

Inter-functional

relationship

between marketing

and sales

The inter-dependence and

relational environment between

the marketing and sales

functional areas.

When the respondent mentions the

marketing department or pricing manager.

(Can be positive or negative connotation.)

Codes associated with this concept:

interface between marketing and sales and

marketing and sales dept. conflict.

"Initially the marketing department was

separate from the sales department.

There were some very clear disconnects

when marketing and sales weren’t

working close together. There were

missteps in the promotion and more

importantly, a lack of sales support out of

the marketing department ." (BR1)

BR1, CS2, DL3,

EJM4, KB6, MR7,

MQ8, PS9, RS10,

SD11, TE12, TW13,

TA14, WW15

33

use of organizational resources;

quality of organizational communication;

inter-functional relationship between marketing and sales.

In this section, each of the seven concepts will be explained. Then a series of

propositions will be developed focusing on the relationship between each of the emerging

concepts and the misalignment of the goals of the pricing and sales force compensation

strategies.

The concept of goal misalignment originated out of a phenomenon experienced

by the author. Despite the fact that the author had a working understanding of the goals

of both the pricing and sales force compensation strategies, confirmation of the ubiquity

of these goals in B2B markets was required. Conversations with salespeople prior to the

pilot interviews confirmed that the goals of both the pricing and sales force compensation

strategies generally were focused to either maximize profit or grow market share.

Throughout the interviews, when prompted to focus on one product group or product

line, the goal of the pricing strategy was communicated as either profit or “the high-end”,

or market share growth or “the low-end.” All of the sales professionals interviewed

confirmed having either profit maximization or market share growth as a sales goal.

Once these goals of profit maximization and market share growth were confirmed, the

process of uncovering the concept of misalignment began.

The nature of goal misalignment and the seven concepts emerged from the data

through described events, actions, and/or feelings from those interviewed. The following

section details how these concepts emerged.

34

Goal Misalignment

Misaligned goals of the pricing and sales force compensation strategies occurred

in approximately 50% of the companies represented by sales professionals interviewed

for this study. All of the sales professionals acknowledged the salesperson’s dependence

on price as a tool. A sales manager (TE12) suggested “if anything they may use price as a

crutch.” This study suggests that when the goals are misaligned the organization is

restraining the sales force from accomplishing the sales goal for which they are being

compensated. As a sales manager (TW13) stated in reference to changes in pricing and

the stationary market share growth target for his salespeople,

One was different from the other. It didn’t matter what they did with the

pricing. Your growth expectancy still remains. They want you to grow

20%-30% before you hit your bonus and it does not matter whether the

pricing has changed during the year.

During the interview process, the concept of having congruent goals for these two

strategies seemed foreign to some and familiar to others. Therefore, two approaches

were used to identify if the company’s goals for their pricing and sales force

compensation strategies were incongruent. The first approach was to have the sales

professional think about the goals of each strategy separately. The sales professional was

asked “Is your compensation based on profit margin goals or market share growth

goals?” Later in the interview the sales professional responded to the following question,

“Are the goals of the pricing strategies apparent or communicated to the sales force?”

All individuals responded “yes” and communicated the specific goal of the pricing

strategy. When asked about the goals of these two strategies in a separate fashion, nine

sales professionals (60.0%) indicated that the goals were incongruent with each other.

The second approach included the question, mentioned earlier, “Have you ever faced a

35

situation in which the way the company priced and promoted its products did not match

with your [your sales force’s] incentive/compensation structure?”, which yielded a

response of seven (46.7%) sales professionals stating “yes”. Several sales professionals

recounted incidents they observed relating to other salespeople with regard to pricing

acting as a constraint to sales performance. As the interviews progressed the negative

effects of misalignment were apparent on the sales force, the misuse of organizational

resources, the quality of organizational communication, and the quality of the inter-

functional relationship between the marketing and sales functions.

Adverse Selling Behaviors of the Sales Force

When continually comparing the transcribed interviews, more refined concepts

affected by the misaligned goals of the pricing and sales force compensation strategies

emerged, such as adverse selling behaviors. Misaligned strategies may encourage

salespeople to adversely adapt their selling behaviors. For example, MQ8 is a

salesperson who earns commission on market share growth while the pricing goal is

admittedly based on profit. When MQ8 perceives that the price of the product is too high

for the customer, MQ8 offers the following,

I work out a deal with the customer offering free freight or whatever

provides the customer with more value.

The salesperson who has access to resources within the selling organization will

invest his/her time seeking ways to counteract the high selling prices. If adverse selling

behaviors were on a continuum perhaps spending time “giving away profit” instead of

making new sales would be on one end and on the opposite end would be abstaining from

selling certain products entirely. Salesperson DL3, who is compensated on profit margin

36

maximization, talked about refraining from selling products not priced high enough. DL3

reports,

If the product total is a small value even though it is new business, I don’t

get anything… I am not motivated to sell that product.

Salesperson SD11 is compensated on market share growth yet his company prices

the products SD11 sells with a profit maximization objective. SD11 sells to wholesalers.

The company that SD11 sells for has a published price sheet however SD11 has found a

way to circumvent the system. In fact SD11 comments,

You know, we are legitimate, we publish our pricing list and we stick to it.

But then there are also pricing levels. Every company, whether they admit

it or not, has multi-pricing levels. The levels are contingent on the

purchasing power [purchasing volume] the customer has. If a company is

just starting out, and I know this person and I know he is going to be good.

I will help him out with a better pricing level.

The Marketing department of SD11’s company has likely established pricing

levels to reward companies that buy large volumes with lower prices in an effort to

protect the margin opportunity in the resell channel. Typically these buying companies

have significant overhead and demand large margins when pricing to their end customers.

When SD11 offers the product to a start-up company (likely with less overhead than the

large company) at the large volume customer price level it affords the start-up company

the opportunity to undercut or “lowball” the large company’s selling price with the exact

same product. The long term ramifications of SD11’s behaviors will erode the referent

price of the product in the end-user market, and the company’s large customer will

become extremely angry. Meanwhile, SD11 is growing market share by opening start-up

companies albeit at less margin than was designed by marketing with the pricing strategy.

37

Perceived Effort to be Successful

Effort is defined as the amount of cognitive and physical energy and time invested

in a job task (Jaramillo & Mulki, 2008; Rangarajan, Jones, & Chin, 2005). Perceived

effort would then be the salesperson’s anticipated amount of cognitive and physical

energy and time required for a task. Organizations establish sales thresholds for the sales

force and award outcome or behaviors with compensation. Sales management literature

states that sales force control systems are thought to be able to direct efforts. “Control

systems have an impact on the salesperson’s thoughts and feelings and certain behaviors”

(Oliver & Anderson, 1994, p. 60). This study finds that indeed the pricing strategy

influences a salesperson’s perceptions of the effort believed to be required to be

successful. The pricing strategy in concert with the goal of the sales force compensation

strategy enables the salesperson to evaluate and determine the effort needed and react

accordingly. Sales manager EJM4’s sales force is compensated on market share growth

and the firm’s pricing strategy is profit maximization. EJM4 commented on the various

levels of sales force effort,

When the sales force knows that the price of a product is hot and right

[lowest in the market], they are in the field pushing and selling. When the

sales force knows that the price of a product is about the same as the

competitors, that is how they treat it, just the same as everybody. When

they know that the price of a product is too high, way out of line with the

market, they will not even try to sell it.

Sales manager TW13 remembers a situation where the selling company switched to a

brand of product and priced the product 20% higher than the originally carried brand.

The sales force, compensated on market share growth, perceived that it would take too

much effort to try to convince the customers to buy. TW13 states,

38

This situation requires a great deal more effort on the part of the sales

manager to educate the sales force, and for the sales force to educate the

customers on why they should buy this new brand and pay more.

Perceived Risk of Being Unsuccessful

As discussed in Chapter 1, risk is deliberately induced and transferred to and from

the sales force and the company through sales force control systems. Outcome control

systems require very little managerial involvement, include objective performance

evaluations, are associated with pay for performance compensation methods, and as a

result, transfer risk to the salesperson (Oliver, et al., 1994). In contrast, behavioral

control systems require extensive managerial involvement through monitoring,

evaluation, and approval processes. Behavioral control systems are associated with a

larger salary component of compensation whereby risk is maintained with the company

(Oliver et. al., 1994).

To understand how the concept of the salesperson’s perceived risk of being

unsuccessful emerged from the data as an important concept in this study, sales manager

TE12 stated,

In the last two years, price has moved up to the number two or three top

challenge [to overcome] as reported by the sales force.

Sales manager TW13, whose team is compensated with a market share growth

goal, speculates the reason for his/her organization’s high profit margin requirement on

product pricing is the result of the organization’s low purchasing power. This company

must pay a higher price for the components, and may attempt to recoup the higher costs

with a higher priced product. However, the resulting price was higher than the market

referent price. In response to management’s growth expectations (year over year, double

digit growth), TW13’s level of perceived risk of being unsuccessful is high,

39

There is always going to be somebody that is going to buy from you

because it is convenient. But when it comes down to fighting it out on the

streets [for new market growth] unless the selling company has their costs

under control, and can price the product competitively, you are not going

to grow the business and you are not going to make it as a salesperson.

One of the sales managers interviewed explained that once a year, the salesperson

and the manager sit down together and establish the bonus thresholds for the coming

year. The manager, TE12, stated,

It is a team process with feedback. It doesn’t do us any good to put

unrealistic goals. The salesperson knows the market better than anyone

else. Admittedly, there is a fine line between sandbagging and setting

goals way too high and that is the negotiation point. The salesperson and

the sales manager agree on a goal that is motivating and not

demotivating.

Another concept that emerged from the interviews that is related to a

salesperson’s perceived risk of being unsuccessful is a salesperson’s perception that

he/she can be competitive selling the company’s product offering. The perception of

being competitive is most relevant when the competition is intent on stealing business

from the salesperson. The threat of losing a big customer as a result of pricing can put a

salesperson’s sales goal and commission or bonus at risk. This occurs even with the

salesperson participating in establishing the sales goal threshold. Again, comments from

sales manager TE12,

We have a customer that is an $800 million distribution center. Our

salesperson is saying the customer is threating to leave. If we want to

keep the business we have to meet their new price demand. The selling

company produces original equipment quality parts and the large

distributor is threatening to pull the business and go with an off-shore

supplier whose selling price is 70% of our selling price. It caught the

salesperson and me off guard.

40

In this case, the actions of the selling company and the customer determine the

salesperson’s reward outcome and the salesperson will likely perceive a high degree of

risk in not achieving the sales goal, hence his/her bonus.

One sales professional participating in this study expressed concerned with

pricing although the company enjoys near monopoly in the market. This salesperson still

fears the competition coming in and eroding what the sales force has accumulated.

Comments from salesperson SD11 (compensated on market share growth),

Even with 90 percent of market share, you still have to be careful with

pricing. If you open the door for your competitors to come in, you will be

screwed. You will lose customers [and everything else] and then you will

regret having administered the price increase.

When the goals of the pricing and sales force compensation strategies are

misaligned the salesperson perceives a higher risk of being unsuccessful. Perceived risk

is very real to salespeople. If performance goals are not met, the salesperson is out of a

job. Sales manager, BR1 confirms,

I remember releasing salespeople that were not producing. I let them go

because I do not think they were working hard enough or perhaps they felt

it was too difficult to sell and just didn’t produce.

Cost to Monitor Sales Force Outcomes

When an organization establishes the sales force compensation strategy, the

resources for monitoring and systems for evaluating are also in place. Moreover, the

monitoring costs are anticipated. When goals are misaligned the frequency of failed goal

attempts increases. Organizations do not grow if the sales force is not achieving sales

goals and salespeople do not remain in positions when sales goals are not met. The

organization that employs SD11 has misaligned goals. SD11’s organization has created

41

extensions or exception-monitoring programs to accommodate the occurrences of failed

sales goals. Salesperson SD11 who is compensated on market share growth noted,

We get evaluated on a quarterly basis. If you hit your sales goal, you get

commission. If you do not [hit your sales goal] you are in the hole for the

next quarter review. You have to make up the prior quarters negatives or

deficits before you can earn commission. This continues throughout the

year.

A profit maximization compensation strategy is associated with a behavioral

control system that requires a great deal of managerial input, monitoring, feedback, and

guidance. Once the behavioral control systems are part of daily operation, it is

cumbersome for an organization to manage a market share growth price promotion.

Managers get conditioned to measure changes in specific matrices. A requirement of an

effective sales force control system is that the sales force comprehends the parameters on

which they are being evaluated. Behavioral control systems would likely measure profit

margin growth and return on sales, which are completely different matrices than revenue

market share and/or customer or market penetration. In the problem setting referenced

earlier, the organization, which compensates the sales force based on profit, tried to run a

market share growth price promotion in a specific region. The organization did not have

standard reports in place that would show the incremental growth of sales in units per

salesperson. The results of the first month were not readily available to the salespeople.

The organization enlisted the aid of an employee from the accounting department to

create a report for the remaining two months of the promotion. At the end of each month

of the promotion, the managers met to discuss possible ways to positively influence the

outcome of the promotion. The application of ineffective solutions cost the company

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resources and created extra audit measures for the added delivery service. This problem

stemmed from misaligned goals.

A market share growth compensation strategy is associated with an outcome

control system requiring minimal supervisory monitoring, evaluation, and input. A sales

force evaluated on outcomes, not behaviors that it takes to achieve these outcomes,

performs his/her job duties with a high level of autonomy (Oliver & Anderson, 1994).

The benefits of an autonomous sales force with a goal to grow market share are placed in

double jeopardy when the challenge of misaligned pricing (profit maximization goal) is

combined with an organizational restriction on who can change prices. With sales goal

achievement at risk, the members of the sales force will either continually appeal to their

supervisor and/or other members of the management team for relief, or they will

circumvent organizational procedures that manifest in misattributed loss of resources.

Unplanned events in business cost managers time and detract from efficiencies and

growth. Salesperson MQ8 references the additional supervisory involvement needed

when faced with a compensation goal of growing market share, but when forced to sell

products with increasing prices,

In searching for something to offset the higher prices for one particular

order, I will go to my manager and explain the customer situation and ask

if the manager will approve a five percent discount for the customer

paying for the order cash in advance or a two or three percent discount if

the customer pays in ten days. I am not empowered to authorize these

things.

Sales manager TW13 comments,

The computer will not let the salesperson enter an order or sell something

cheaper than the established price. The salesperson has to get a manager

to sign off on something like that, especially if you are trying to do a favor

for a customer.

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Sales manager TE12 discusses the process that his company goes through when a

salesperson requests lower than listed prices,

When the salesperson comes to management and says, “We need a 10 to

15 percent price reduction on this part to continue our sales volume with

this customer and here is what is going on,” management gets together

and determines if we can do this or not. If we can’t, then we try to buy a

couple of days, or weeks to get our purchasing and procurement guys

involved and say, “Listen, we have to get a better price.”

One of the most proximal drains on organizational resources is an increase in costs to

monitor and manage the sales force. This drain increases with misaligned goals of the

pricing and sales force compensation strategies.

An organization that has aligned goals for the pricing and sales force

compensation strategies has processes and systems in place that are conducive to the flow

of information throughout management. A sales manager (CS2) who is in an

environment in which the pricing and sales force compensation goals are both market

share elaborates,

We have an automated process called the SPAR process, Special Price

Authorization Request. The form asks the salesperson to key in responses

to basic questions that management would want to view. For instance,

who is the competition, what is the competitive price, what is it the

competitors are offering and for how long. As the sales manager, I have

authorization to deviate from the published price and offer a discount. All

of the details are in the computer system and everything is done up front.

Organizational Resources

This research is specifically concerned with the inefficient and unauthorized use

of organizational resources that may result from misaligned goals. Resources at risk of

being commandeered are those that do not impact the sales force compensation or the

compensation goal. The interviews revealed the losses of tangible and intangible

44

resources are often undetected or erroneously misattributed to conditions other than the

misaligned goals of the pricing and sales force compensation strategies. A salesperson

compensated on market share growth may misappropriate organizational resources if it

results in growing his/her territories market share. Sales manager TW13 makes the point

about such a situation,

If your prices are not that great [compared to competition], and you want

to win the sale, we have told customers that we will deliver to them [free]

four and five times a day whereas the competition will only come twice.

Opening new accounts and securing new business is a responsibility of the sales

force. Salesperson MR7 is compensated on market share growth and is expected to open

new accounts and secure new business. When a salesperson spends nearly half of his/her

time in pricing negotiations with customers, there is limited time for prospecting. Also at

risk is the current customer base, as constant negotiation slows down the selling process.

A reduction in speed or frequency of the selling process results in fewer products in the

market, in other words, a smaller share of the market. In the words of the salesperson

(MR7) compensated on market share but tasked with selling products priced to maximize

profit,

I have a particular area in my territory that is an extremely competitive

market, it is a big market and for that reason is very important. It is hard

for us to meet the customer’s price requirements. Most of the time, we do

not give the customer the price they are requesting. It frustrates the

customers. I spend 60 to 70 percent of my time in price negotiations in

this region. Overall, I spend 40 to 50 percent of my time talking to

customers about price.

The hidden costs of misaligned goals erode an organization’s profits. Considering the

total number of customer orders an organization processes in a year, these losses could be

substantial.

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Organizational Communication

The scope of organizational communication used in this research includes

messages to and from the external market partners as well as to and from the internal

marketing and sales areas. “Quality communication is the interpersonal, transactional,

symbolic process by which individuals achieve and maintain understanding”

(Montgomery, 1981, p. 21). Quality communication occurs between individuals, such as

a salesperson and a buyer, when they can interpret meaning using verbal and nonverbal

cues. Quality communication is a process of constant interactions and develops over time

(Montgomery, 1981). Consider the situation where the organization is not clearly

communicating to the customer the need to frequently adjust prices; however, the

salesperson is sufficiently clear on his/her communication regarding the frequent price

adjustments. The sales professionals interviewed for this study stated that the pricing

information was shared with customers by another functional area of the organization.

However, the salesperson called their customers to have a follow-up conversation to

explain why the price adjustment (usually an increase) occurred. Salesperson PS9 is

compensated on market share growth and the goal of the pricing strategy is profit

maximization. The organization that PS9 sells for strives to maintain a high profit

margin and as raw material costs increase the organization quickly passes those costs on

to the customers. PS9 could have chosen to improve the quality of communication

regarding the numerous price increases by listing and explaining the various sources of

the increase. Instead, PS9 who is compensated on market share growth corrodes the

communication with negative attitude. PS9 commented,

A couple of years ago, when I was with my other company, we had price

changes three or four times a year. It was really uncomfortable to call the

46

customer to tell them, Guess what, we are going to change the prices,

AGAIN.

The frustration that the salesperson felt toward the organization was transmitted to the

customer. In this situation, misaligned goals of the pricing and sales force compensation

strategies do not benefit the salesperson nor do they benefit the customer. It is likely that

the reputation of the selling organization was tainted and that the customer was

empathetic towards PS9. Had PS9 been compensated on profit maximization, hence the

goals of the pricing and sales force compensation strategies aligned, then PS9 may have

been more motivated to clarify the organization’s communication.

Salesperson KB6 explains a situation involving an original equipment

manufacturer (OEM) that tried to gain entrance into the aftermarket. An OEM typically

commands a high profit margin for the products. Aftermarket manufacturers are not held

to the same standards of an OEM and therefore sell at a much lower referent price.

Salesperson KB6 was hired by the OEM, compensated on market share growth, and was

tasked with growing business in the aftermarket with high profit margin prices. In

addition to the misaligned strategies, the OEM lacked the product marketing

infrastructure required to participate in the aftermarket. KB6 explains the lack of product

information and how this lack of product communication impeded the sales process.

KB6 stated,

The quality of the product was good but their prices were too high. On the

price list the company listed their part number and a price. The sales

force was not given a medium with which to communicate the benefits of

the high priced product. There was no interchange to industry numbers,

and no reports that communicated product comparisons to competitors’

products.

47

A low quality of internal communication may signal to the customer that there are other

problems throughout the salesperson’s organization. KB6 eventually became so

frustrated that he quit the company.

Inter-functional Relationship between Marketing and Sales

Trade publications and academic literature have documented the sometimes

venomous relationship between marketing and sales. Tenuous relationships between

marketing and sales are made worse when the goals of the pricing and sales force

compensation strategies are misaligned. From the salesperson’s point of view, the

pricing strategy is created by marketing, and marketing is out of touch with the market

reality. The sales force is responsible for the implementation and success of the pricing

strategy, yet the sales force has limited or no input and the sales force compensation goals

are not considered. A good example of this is reported by sales manager CS2,

Here we are siloed. We have a VP of Marketing and a VP of Sales. The

fact of the matter is that sales and marketing are butting heads. The

marketing people are over in their fiefdom doing their stuff, and they are

not telling us what they are doing. They think they communicate, but they

don’t and they complain about us. The marketing guys complain, “Sales

guys are dumb and don’t know what they are doing. Having separate

leaders for sales and marketing is obstructing the pursuit of sales growth

here.”

Misaligned pricing and sales force compensation goals are a forecast for imminent failure

of one or both strategies. Sales manager BR1 managed a sales force compensated on

market share growth, and responded,

Initially, the marketing department was separate from the sales

department. There were some very clear disconnects when marketing and

sales weren’t working close together. There were missteps in the

promotion and more importantly, a lack of sales support out of the

marketing department.

48

The success of a pricing strategy is co-owned by the marketing and sales

functional areas. Research by Malshi et al. (2009) demonstrated that “successful strategy

creation and execution requires both functions (marketing and sales) to be equally

invested in the entire process” (p. 401). Malshi et al. (2009) found that

“an open exchange of ideas” and a mutual “understanding of the market

reality” were necessary to facilitate the “three main stages (groundwork,

transfer, and follow-up) of marketing strategy making across the

marketing-sales interface” (p. 415).

When misaligned goals emerge from the two functional areas, relationships are

unnecessarily complicated.

PROPOSITIONS

In the following section a series of propositions are developed based on the

literature and interviews. These propositions elucidate the significant challenges that

organizations face when the goals of the pricing and sales force compensation strategies

are misaligned.

Misalignment and Sales Force Behavior

Weitz (1981, p. 85) develops a contingency framework based on the idea that the

effectiveness of sales behaviors are at least in part determined through the interactions of

“sales behaviors, resources of the salesperson, the nature of the customers’ buying task,

and characteristics of the salesperson-customer relationship”. The resources belonging to

the salesperson include his/her sales ability, knowledge about the product and customer,

and personal characteristics (Weitz, 1981). In the qualitative study, Weitz (1981)

mentions the extent to which company resources are available to the salesperson to use or

offer as a way to satisfy customer needs. Company resources include, “the company

49

reputation, price, delivery, and terms” (Weitz, 1981, p. 93). Experienced salespeople

become adept at identifying the company resources that can be easily offered to the

customer in consolation for high prices. The salesperson deliberately offers resources to

customers that pose no compensation repercussions to themselves, albeit come as a cost

to the selling organization. The effectiveness of the sales behavior relates to the

salesperson adapting to the sales environment only when the “result in the benefits

outweighs the costs of practicing adaptive selling” (Weitz, Sujan & Sujan, 1986, p. 176).

Sales manager EJM4 provides an organizationally supported solution,

We instruct the salespeople that if they need, what we call display units,

they can give them to the customer free of charge. We are willing to give

the unit away if necessary to garner the business. The salespeople have

certain added value tools that they can use to bring the value of the order

to where it needs to be to compete against the low ball price of a

competitor.

Salespeople are trained to highlight the quality of the products or services and

accentuate the customer service element of the company when persuading a customer to

buy (Lancioni & Gattorna, 1992). Talking about price too early can diminish the

salesperson’s opportunity to properly sell the products or services to the customer

(Lancioni & Gattorna, 1992). Pricing that is broadcast directly to the customers pre-

empts the salesperson’s ability to highlight the benefits of the company or any possibility

of upselling to a more profitable or expensive product. Placed in a situation where the

customer already has knowledge of the pricing and the salesperson has conflicting goals

of the pricing and sales force compensation strategies, requires that the salesperson

become creative at adding value for the customer or creative in the selection of products

to sell or not sell. Misalignment increases the likelihood that one or more goals will not

50

be achieved. Actively including both sales and marketing in the strategy development

process increases the chance for goal alignment and strategy success.

Misalignment of strategies occurs at the time of strategy development within the

respective functional areas. Marketing and sales collaboration must be supported with

aligned goals and processes (Le Meunier-FitzHugh et al., 2011; Rouziès et al., 2005). A

disjointed planning process between the marketing and sales interface may negatively

impact firm performance (Rouziès, et al., 2005). In practice, the pricing strategy

critically impacts the ability of the sales force to effectively achieve their goals and

compensation (Joseph, 2001; Weinberg, 1975). Anecdotally, managers dismiss claims

made by the sales force of lost sales as a result of an unresolved price issues but they

never really know for sure. The sales force suffers from alienation of their own firm

where misalignment exists, while simultaneously attempting to form long-term

relationships with their customers. The disenfranchisement of the sales force from the

firm due to misalignment is not only costly in the form of reduced sales, but also likely to

be contagious to the customer resulting in reduced satisfaction with the firm.

Performance expectations and demands accumulate to establish the role of the

salesperson (Walker et al., 1977). If the expectations and demands are in conflict,

choosing and completing the appropriate task to improve the salesperson’s performance

becomes difficult. For example, consider a sales strategy with a goal to increase market

share by eight percent. In this scenario, for the sales force compensation strategy and the

evaluative process to be effective, both would focus toward gaining market share.

However, if frequent price increases by the marketing area occur in response to a

dynamic customer environment or internal changes, this transmits confusing messages to

51

the sales force. In this example, the activities and behaviors of the sales force would be

representative of a market share growth strategy while the frequent pricing increases

suggest the pricing for a product with a profit maximization strategy.

Pricing and sales force compensation strategies that have misaligned elements and

conflicting goals cause confusion with regard to the evaluative standards and processes

established for the sales force. The outcomes as a result of goal misalignment may yield

effective yet objectionable sales behavior. Thus,

P1: When the pricing and sales force compensation strategies are not aligned

toward achieving congruent goals, there is a negative effect on the selling

behaviors of the sales force.

Perceived Effort

When a firm has multiple incongruent goals governing the sales force, the results

may be chaotic for the sales force. The lack of clarity of expectation can cause the sales

force to experience role ambiguity (Miles and Perreault Jr, 1976), and role ambiguity

increases the effort that salespeople perceive will be necessary to complete a task (Singh,

1998). Evidence of the resulting effort inefficiencies may also be visible to the external

market through the sales function. In an attempt to offset escalating prices and preserve a

competitive level of customer value in the face of a conflicting compensation package,

for example, the sales force may scramble to offer easily available resources that may be

perceived as benefits to the customer but are unnecessarily costly to the organization.

A commonly exhibited agency problem is that the goals of the principal are

different from the goals of the firm (Eisenhardt, 1989). When the pricing and sales force

compensation strategies are aligned toward congruent goals the expectations of the sales

52

force are clear and role and goal ambiguity is reduced. Allowing the sales force to focus

on clear goals ensures the opportunity for success. For example, consider two pricing

strategies: one that supports a profit maximization goal and one that supports a market

share growth goal. In general, a profit maximization price strategy removes the lengthy

price negotiation and allows the sales force to concentrate on performance enhancing

behaviors such as offering customers the right product or service solutions. A market

share growth price strategy can lengthen the sales process for the salesperson as

discounted pricing may invite frequent price negotiations while the customer attempts to

find the bottom or lowest price. However, a market share growth goal for the price

strategy can also help the organization gain access to new market share. If the sales force

compensation strategy is aimed toward market share growth, and the pricing strategy is

also aimed at market share growth, then the salespeople have the pricing tools, the

direction from management, and the reward structure they need to go out and sell, and

ultimately improve the firm’s performance through gaining market share. Misaligned

pricing and sales force compensation strategies invite the perception of lengthy price

negotiations, intense manipulation of the sales environment, and unachievable

performance expectations. Thus,

P2: The misalignment of the goals of the pricing and sales force compensation

strategies increases the salesperson’s perception of effort needed to be successful.

Perceived Risk

Uncertainty and subsequent resulting risk is present in the sales environment

because of the unpredictable changes in customer needs and competitor strategies

(Bergen, Dutta, & Walker, 1992). An organization also introduces conflict into the sales

53

environment by altering policies and activities in response to multiple market changes.

The salesperson uses past experiences and knowledge of the environment to assess the

risks of being successful and adapts his or her behaviors to reduce that risk. Sales

manager EJM4 reiterates,

Salespeople will always take the path of least resistance in order to make

a sale. They may make more money if they sell at a higher price and put in

more effort, however they would rather make the sale than chance not

making the sale.

In highly complicated or involved selling situations the salesperson will work first

to mitigate his or her risk regardless of the optimality for the company. A salesperson’s

perceived risk involves achieving sales goals and consequent compensation awards. In

accord with previous research in this area, this dissertation assumes that the organization

is risk neutral and the sales force is risk averse (Basu, Lal, Srinivasan & Staelin, 1985).

Elements of the sales force control system are intended to address the behaviors of a risk-

averse sales force (Anderson et al., 1987; Basu et al., 1985; Lal & Staelin, 1986). The

organization assumes the risk when the sales force compensation is salary-based

(Anderson et al., 1987). A salaried contract releases the salesperson from compensation

penalties should the salesperson’s behaviors fail to yield the desired sales results. Other

ways the organization can mitigate sales force perceptions of risk through elements of the

control system include: 1) engaged-monitoring by sales management, and 2) the inclusion

of the salesperson when establishing sales strategy evaluative standards (Anderson et al.,

1987). When a salesperson is clear about the sales goals and methods of evaluation, the

salesperson will perceive less uncertainty and therefore less risk (Bergen, Dutta &

Walker Jr, 1992).

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Role conflict occurs when the salesperson is required to meet multiple

incongruent demands (Churchill et al., 1976; Tyagi, 1982; Walker et al., 1977). When the

goals of the pricing and sales force compensation strategies are misaligned the

salesperson perceives role conflict and therefore risk. When product pricing goals are

not matched with the goals of the salesperson’s compensation package, mixed signals are

sent to the salesperson. The salesperson may be motivated by the compensation package,

yet a pricing strategy aimed at goals incongruent to the compensation goals increases the

uncertainty and risk that the salesperson will be successful in both achieving his or her

objectives as well as the firm’s objectives. Thus,

P3: The misalignment of the goals of the pricing and sales force compensation

strategies increases the salesperson’s perceived risk.

Costs to Monitor Sales Force Outcomes

Anderson et al. (1987) define a control system as: “an organization’s set of

procedures for monitoring, directing, evaluating, and compensating its employees” (p.

76). The organization benefits from reducing monitoring costs as a form of process

improvement, which in turn increases manager efficiency and effectiveness. The sales

force control mechanism, of which sales force compensation is a part, is the most

comprehensive part related to the costs of a firms’ product or service. Sales force

compensation plans that are salary-based require more levels of sales management to

monitor and assess behavior (John & Weitz, 1989). Companies can invest in the high

costs to monitor sales force efforts or develop a compensation program based on

performance (Basu, et al., 1985).

55

Multiple goals and differing strategies dilute the monitoring efforts of the sales

manager. The effect of diluted sales manager effort is an increasingly inefficient and

costly sales mechanism. Sales force control systems do not accommodate performance

monitoring on goals external to the sales department. While pricing and other marketing

strategies rely on the execution of the sales force, they require additional monitoring and

direction from the marketing manager (Malshe et al., 2009). When pricing and sales force

compensation strategies are aligned toward congruent goals, marketing and sales

manager resources required to monitor and guide the efforts and behaviors of the sales

force are streamlined and more efficient. Misaligned goals increase monitoring

redundancies and promote contradictory standards for evaluation of sales force

performance. Hence,

P4: The misalignment of the goals of the pricing and sales force compensation

strategies increases the cost of monitoring sales force outcomes.

Organizational Resources

Scarcity of organizational resources is a fact of life for businesses. To achieve

high levels of performance, organizational resources such as budgets, time, energy,

information, and personnel must not be wasted. Past literature considers the importance

of committing both tangible and intangible resources to ensure successful strategy

implementation (Menon, et al., 1999; Siguaw, Brown & Widing, 1994). The failure to

support these strategies and to work with full efficiencies leads to discord in the

interactions between the sales force and the firm, resulting in constraints to sales or

worse, an inability to do business with the customer.

56

Efficient development of pricing strategies involves incorporating information

from other functional areas such as costs from production, capacity and carrying costs

from inventory management, lead times, minimum order quantities, and costs of raw

material or components from procurement, and profit margin guidelines from accounting.

The creation, implementation, and maintenance of a pricing strategy depends on a high

level of information exchange between marketing and sales (Rouziès, et al., 2005). The

challenge of information exchange between the marketing and sales interface is

confounded as a result of the orientation differences of their respective areas (Cespedes et

al., 1996; Homburg et al., 2007). The diversity of the product orientation for marketing

and customer orientation for sales is most apparent when the pricing and sales force

compensation strategies are not aligned toward the same goal. Over time, the above

referenced situation and the causes of firm failure will likely be misattributed to

obscurely related events such as poor sales forecasting, customer account selection, or

ineffective target marketing. The effects of inefficiencies such as divergent orientations

are multiplied when the pricing and sales force compensation strategies are not aligned

toward congruent goals.

Top management must be supportive in providing resources needed to maintain

inventory levels, breadth of product lines, efficient processes, and sufficient budgets to

facilitate the strategies. Firm commitment to pay the sales force commission or

increasing sales force expenses to ensure the success of a pricing strategy is another

example of the availability of organizational resources. When the pricing and sales force

compensation strategies are not aligned to achieve the same goals the firm can experience

an inefficient use of tangible and intangible resources. Therefore,

57

P5: The misalignment of the goals of the pricing and sales force compensation

strategies results in the inefficient use of organizational resources.

Communication

The efficiencies created by aligned strategies include deliberate and focused sales

force effort and efficient use of organizational resources such as management evaluation

time, and internal and external communication resources. The marketing-sales interface

literature suggests that frequent, formal and informal, bi-directional communication will

improve the integration of the two functional areas but may not improve the performance

of the business unit or the firm (Kahn et al., 1997; Rouziès et al., 2005; Ruekert et al.,

1987). Over-communicating can render both groups paralyzed with indecision and

increase redundancies in the communication process (Fisher et al., 1997; Maltz & Kohli,

1996; Rouziès et al., 2005).

Effective communication across the marketing-sales interface must be

bidirectional, of high quality, and must contribute to the purpose and goals whereby both

areas benefit. The goal of the sales force compensation strategy should be considered the

primary indicator of sales force activities. From an understanding of the sales force goal

comes the possibility for open communication and collaboration between marketing and

sales on the development of new marketing strategies. Research by Le Meunier-FitzHugh

and Piercy (2009) demonstrates that effective communication is an important component

of the collaborative effort. Bidirectional communication helps create an understanding of

the goals of each of the areas and a broader understanding of the marketing environment

(Malshe et al., 2009). A high level of quality communication is void of resource

consuming redundancies and coerciveness (Fisher et al., 1997). Quality communication

58

between the functional areas promotes a unity of efforts that can enhance the creation of

aligned, effective, and high quality strategies (Homburg et al., 2008; Malshe et al., 2009).

Quality communication to the external market is imperative to the reputation and

perception of the organization. As mentioned previously, internal inefficiencies and

conflicting goals can manifest outward to the market affecting the customer and

competitor perception of the inefficient organization.

Communication between the marketing and sales areas is challenging as a result

of their differing temporal based (i.e., marketing is long term and sales is short term) and

focus based (marketing is product focused and sales is customer focused) orientations

(Homburg et al., 2007). Inefficient communication within the organization can transcend

organizational boundaries and produce confusing and arbitrary communications to

customers and competitors. Pricing and sales force strategies that are not aligned toward

congruent goals suggest that the organization has difficulty integrating signals received

externally from the market with the information internally communicated by the sales

force and sales management. Therefore,

P6: The misalignment of the goals of the pricing and sales force compensation

strategies reduces the quality of organizational communication.

Intra-functional Relationships Between Marketing and Sales

The domain of the marketing-sales interface is rich in research that establishes

antecedents of integration, optimal levels of integration, and the benefits of integration.

This domain of literature has found that through a harmonious collaboration of ideas and

resources the marketing and sales areas will become better integrated (Kahn et al., 1997;

Rouziès et al., 2005). The process of aligning the activities and tactics associated with

59

the pricing and sales force compensation strategies involves an allocation of meeting time

to facilitate bidirectional sharing of information and the coordinated use of resources

throughout the implementation and maintenance stages of the strategies.

Marketing-sales interface research has varied views on what constitutes activity

alignment. For example, research by Cross et al. (2001), Strahle et al. (1996), and Strahle

and Spiro (1986) suggests that the activities and tactics of the sales force are to be aligned

with the established marketing strategies. These works support the popular premise that

marketing creates the strategies and the sales force implements the strategies. The

disadvantage of this scenario is that strategy creators are not in control of the

implementation. The research that supports collaboration between the marketing-sales

interface suggests that the goals of the functional areas be aligned (Le Meunier-FitzHugh

et al., 2011). Aligned or congruent goals provide a focal point to which all efforts can be

unified.

Research that promotes a collaborative effort throughout the strategy creation,

implementation, and evaluative stages has found an increase in successful outcomes

(Malshe et al., 2009; Rouziès et al., 2005). Successful outcomes involving the joint-

planning process include higher quality strategies, increased value to the organization,

and a more complete integration of the marketing-sales interface (Homburg et al., 2008;

Menon et al., 1996; Rouziès et al., 2005). Involving the sales force in the marketing

strategy creation stage can help to determine potential customer issues and ensures buy-in

of the sales force at strategy inception (Piercy, 2006).

In practice and in extant literature, the likelihood of achieving long-term market

share and profitability through a pricing strategy seems elusive (Feldman, 2005; Uslay,

60

Altinig, & Winsor, 2010). Marketers struggle to seek balance between pricing their

products and services competitively yet pricing to what the market will bear, all while

focusing on their product goal objectives. Marketing managers have admitted to

purposely misdirecting the sales force and sales management towards inflated sales

volume goals to ensure sales volume objectives (Strahle, Spiro, & Acito, 1996). As long

as the goals of the pricing and sales force compensation strategies are misaligned, the

relationship between these two functional areas will continue to degrade.

Dewsnap and Jobber (2002) report that goal conflict and in-group identity

negatively impact the relationship between marketing and sales. Generating revenue is

the functional goal of the marketing and sales areas, and specifically the objective of the

firm’s pricing strategy. The misalignment of the pricing and sales force compensation

strategies limits the ability of the functional areas to optimize revenue generation.

Research by (Hughes, LeBon, & Malshe, 2012) suggests that a dysfunctional marketing

sales interface may delay the “development of market based capabilities and subsequent

competitive advantage” (p. 69). Hence,

P7: Misalignment of the goals of the pricing and sales force compensation

strategies reduces the quality of the intra-functional relationship between

marketing and sales.

DISCUSSION

This research suggests that there are hazards of misalignment that affect the sales

force and the organization. Ultimately, the danger of misaligned goals is the erosion of

firm performance. Similarly, Rouziès et al. 2005 asserts that organization performance is

reliant upon marketing and sales, “coordinating and supporting each other’s activities”

61

through new product launches (p. 121). Strategies that are aligned coordinate the

activities and efforts of the marketing and sales departments facilitating goal achievement

and benefiting firm performance.

As an extension of the marketing sales interface literature, this study suggests that

a higher level of marketing sales integration will result from the process of creating goal

focused, aligned pricing and sales force compensation strategies. Conversely, Menon, et

al. (1999), suggests that a high level of integration must exist, through formalization of

processes and determination of roles, before effective, quality strategies can be created

(Menon, et al., 1991). Findings by Malshe and Sohi (2009) indicate that the creation of

effective, quality strategies “across the marketing sales interface” is the result of a three

step process that includes the creation, implementation, and evaluation (p. 415).

As mentioned previously, pricing literature has been intent on investigating the

effects of a firm’s pricing strategy on the customer and the competitor (Smith & Nagle,

1995; Dolan, 1987, Cressman & Nagle, 2002). The most important contribution this

research makes is identifying the effects of the firm’s pricing strategy on the sales force;

specifically, unfavorable behaviors as a result of misaligned strategies. Some examples

of unfavorable behaviors include the salesperson spending 30% to 50% of their time on

price negotiations or refusing to sell an item because the low margin of the price did not

meet the minimum margin threshold of the compensation program. Examples of

salespeople giving away company profits include offering a customer free freight for the

transportation of the goods or changing the customer’s price level to a lower,

unsubstantiated level (outside of the organization’s parameter). Some manager’s may

62

perceive the “giving away of company profits” as stealing from stakeholders. However

the salespeople view their actions as off-setting the risk of being unsuccessful.

The phenomenon of misalignment of goals emerged from the qualitative

interviews. When questioned about the current sales objective, the sales professional was

quick to respond it was either profit maximization or market share. The response was

just as forthcoming when asked about the pricing goal. The result of the separate goal

inquiries confirmed nine out of fifteen (60%) of the interviewees worked in environments

in which misaligned pricing and sales force compensation goals were actively in effect.

Only 47% of the interviewees acknowledged being in a situation where the way a

company priced and promoted its products interfered with the sales compensation

structure. Yet, nearly all of the sales professionals acknowledged and discussed

mitigating the possibility of lost sales and/or compensation as a result of a pricing

strategy. The participants of this research clearly articulated the repercussions of

misalignment however could not identify the cause, which reinforces one of the original

premises that often managers misattribute the effects of goal misalignment.

The two key concepts of perceived effort to be successful and the perceived risk

of being unsuccessful emerged when some respondents communicated a sense of

hopelessness when faced with the condition of misaligned goals. The salesperson

perceived a greater amount of effort required to be successful under conditions of

misalignment than when goals were aligned. The perceived risk of being unsuccessful

emerged from the salesperson’s fears that the pricing would not allow them to compete

and therefore fail to meet the expectations of both the selling firm and the customer. The

sales force management literature confirms transferring risk from the firm to the sales

63

force via outcome based compensation methods as an inducement or motivator

(Eisenhardt, 1989; Cravens et al., 1993). Different from the motivating element of an

outcome based compensation method and strategy, the misaligned pricing strategy

produced the perceived risk of being unsuccessful which was considered, by the

salesperson, to be a de-motivating factor.

Using the sample of this study as being representative of B2B markets,

misalignment is prevalent in at least half of the B2B organizations. For change to occur,

managers must diligently look for the indicators of misalignment. One key indicator of

misaligned goals is a failed pricing strategy and/or an increase in unplanned price

negotiation on behalf of the sales force. Management must evaluate the goals for each

product line and be cognizant that the amount of motivation and effort with which the

sales force will engage in goal achievement are dependent on the goals of both the

pricing and the sales force compensation strategies.

FUTURE RESEARCH

The propositional inventory provided in this paper serves as a launch pad for

more research on the effects of marketing strategies upon the internal sales force.

Empirical testing of the propositions will further theory development in the area of

pricing and sales force behavior. The functional area of pricing has greatly expanded in

the past ten years. Today, many companies employ pricing analysts, strategic pricing

managers, and/or directors of pricing analytics. Research on the relationship between the

pricing professional and the sales professional would provide more depth to this research

stream.

64

CONCLUSION

This qualitative research provides a new direction for researchers to examine the

firm’s pricing strategy as a motivational influencer on the sales force. Findings that

emerged from this study indicate, as proposed, that conditions of a firm’s pricing strategy

have resulted in adverse behaviors by the sales force. When the goals of the pricing and

sales force compensation strategies were conflicted the salespeople conveyed perceptions

of more required effort to be successful. In particular conditions the salesperson

perceived the risk of being unsuccessful so high that they abstained from selling.

Managing the sales force with misaligned goals gives cause to create new reports,

extensions on evaluations, and more frequent less favorable performance evaluations.

The sales professionals interviewed for this research want to do a good job. When the

salesperson spoke about adding more value for the customer in an effort to salvage the

sale, they were trying to please the customer and themselves. More importantly, the

salesperson seemed to have the belief that obtaining the sale, regardless of the cost, was

better than losing the sale to a competitor.

Aligning pricing and sales force compensation strategies toward a congruent goal

would require joint planning between the marketing and sales functions, effective

communication (internal to the firm and external to the market), sharing of organizational

resources, and establishing expectations of outcomes and roles. The anticipated

outcomes of aligning the pricing and sales force compensation strategies include an

increase in customer satisfaction, reduced costs, and increased sales.

65

References

Anderson, E. & Oliver, R. L. (1987). Perspectives on Behavior-Based Versus Outcome

Based Salesforce Control Systems. Journal of Marketing, 51(4), 76-88.

Anderson, J., Wouters, M. & van Rossum, W. (2010). Why the Highest Price Isn’t the

Best Price. MIT Sloan Management Review, 51(2), 69-76.

Bartholomew, M. (2000). Foundation for Nonlinear Models with Thresholds for

Longitudinal Data. Journal of Biopharmaceutical Statistics, 10(4), 469-481.

Basu, A. K., Lal, R., Srinivasan, V., & Staelin, R. (1985). Salesforce Compensation

Plans: An Agency Theoretic Perspective. Marketing Science, 4(4), 267-291.

Bergen, M., Dutta, S., & Walker Jr, O. C. (1992). Agency Relationships in Marketing: A

Review of the Implications and Applications of Agency and Related Theories.

Journal of Marketing, 56(3), 1-24.

Bourgeois III, L. J., Eisenhardt, K. M. (1988). Strategic Decision Process in High

Velocity Environments: Four Cases in the Microcomputer Industry.

Management Science, 34(7), 816-835.

Bradford, K., Brown, S., Ganesan, S., Hunter, G., Onyemah, V., Palmatier, R., …Weitz,

B. (2010). The Embedded Sales Force: Connecting Buying and Selling

Organizations. Marketing Letters, 21(3), 239-253.

Cespedes, F. V., & Piercy, N. F. (1996). Implementing Marketing Strategy. Journal of

Marketing Management, 12(1-3), 135-160.

Churchill Jr, G. A. J., Ford, N. M., Hartley, S., W., & Walker Jr, O. C. (1985). The

Determinants of Salesperson Performance: A Meta-Analysis. Journal of

Marketing Research, 22(2), 103-118.

Churchill Jr, G. A., Ford, N. M., Walker Jr, O. C. (1976). Organizational Climate and

Job Satisfaction in the Sales Force. Journal of Marketing Research, 13(4), 323-

332.

Corbin, J. & Strauss, A. (1990). Grounded Theory Research: Procedures, Canons, and

Evaluative Criteria. Qualitative Sociology, 13(1), 3-21.

Corbin, J., & Strauss, A. (2008). Basics of Qualitative Research: Techniques and

Procedures for Developing Grounded Theory. Los Angles, CA. Sage

Publications.

66

Cross, J., Hartley, S., Rudelius, W., & Vassey, M. (2001). Sales Force Activities and

Marketing Strategies in Industrial Firms: Relationships and Implications. Journal

of Personal Selling & Sales Management, 21(3), 199-206.

Coughlan, A. T., & Sen, S. K. (1989). Salesforce Compensation: Theory and Managerial

Implications. Marketing Science, 8(4), 324-342.

DeCarlo, T.E., Teas, K.R., & McElroy, J.C. (1997). Attribution Processes and Salesforce

Expectancy Perceptions. Journal of Marketing Management, 7(1), 14-33.

Dewsnap, B., & Jobber, D. (2000). The Sales-Marketing Interface in Consumer

Packaged-Goods Companies: A Conceptual Framework. Journal of Personal

Selling & Sales Management, 20(2), 109-119.

Dewsnap, B., & Jobber, D. (2002). A Social Psychological Model of Relations Between

Marketing and Sales. European Journal of Marketing, 36(7), 874-894.

Dolan, R. J. (1987). Quantity Discounts: Managerial Issues and Research Opportunities.

Marketing Science, 6(1), 1-22.

Draganska, M., Kapper, D., & Villas-Boas, S. B. (2010). A Larger Slice or a Larger Pie?

An Empirical Investigation of Bargaining Power in the Distribution Channel.

Marketing Science, 29(1), 57-74.

Eisenhardt, K. M. (1988). Agency- and Institutional-Theory Explanations: The Case of

Retail Sales Compensation. Academy of Management Journal, 31(3), 488-544.

Eisenhardt, K. M. (1989). Agency Theory: An Assessment and Review. Academy of

Management Review, 14(1), 57-74.

Evans, K. R., Margheim, L., & Schlacter, J. L. (1982). A Review of Expectancy Theory

Research in Selling. Journal of Personal Selling & Sales Management, 2(2), 33-

40.

Feldman, D., M. (2005). Making Cents of Pricing. Marketing Management, 14(3), 20-25.

Fisher, R. J., & Maltz, E. (1997). Enhancing Communication Between Marketing and

Engineering: The Moderating Role of Relative Functional Identification. Journal

of Marketing, 61(3), 54-70.

Flint, D. J., Woodruff, R. B., & Gardial, S. F. (2002). Exploring the Phenomenon of

Customer’s Desired Value Change in a Business-to-Business Context. Journal of

Marketing, 66(4), 102-117.

67

Gu, F. F., Kim, N., Tse, D. K., & Wang, D. T. (2010). Managing Distributors’ Changing

Motivations Over the Course of a Joint Sales Program. Journal of Marketing,

74(5), 32-47.

Guest, G., Bunce, A., & Johnson, L. (2006). How Many Interviews Are Enough? An

Experiment with Data Saturation and Variability. Field Methods, 18, 59-82.

Hair Jr, J. F., Celsi, M. W., Money, A. H., Phillip, S., & Page, M. J. (2011). Essentials of

Business Research Methods, Second Edition, Armonk, New York. M.E. Sharpe.

Hansen, A., Joseph, K., & Krafft, M. (2008). Price Delegation in Sales Organizations: An

Empirical Investigation. Business Research, 1(1), 94-104.

Holden, R. K., & Nagle, T. T. (1998). Kamikaze Pricing. Marketing Management, 7(2),

30-39.

Homburg, C., & Jensen, O. (2007). The Thought Worlds of Marketing and Sales: Which

Differences Make a Difference? Journal of Marketing, 71(3), 124-142.

Homburg, C., Jensen, O., & Krohmer, H. (2008). Configurations of Marketing and Sales:

A Taxonomy. Journal of Marketing, 72(2), 133-154.

Homburg, C., Jensen, O., & Hahn, A. (2012). How to Organize Pricing? Vertical

Delegation and Horizontal Dispersion of Pricing Authority. Journal of Marketing,

76(5), 49-69.

Hoskisson, R.E., Castleton, M. W., & Withers, M. C. (2009). Complementarity in

Monitoring and Bonding: More Intense Monitoring Leads to Higher Executive

Compensation. Academy of Management Perspectives, 23(2), 57-74.

Hughes, D. E., LeBon, J., & Malshe, A. (2012). The Marketing-Sales Interface at the

Interface: Creating Market-Based Capabilities through Organizational Synergy.

Journal of Personal Selling & Sales Management, 32(1), 57-72.

Hult, T. G. (2011). Toward a Theory of the Boundary-Spanning Marketing Organization

and Insights from 31 Organization Theories. Journal of the Academy of Marketing

Science, 39(4), 509-536.

Hutt, M. (1995). Cross-Functional Working Relationships in Marketing. Journal of the

Academy of Marketing Science, 23(4), 351-357.

Jaramillo, F., & Mulki, J. M. (2008). Sales Effort: The Intertwined Roles of the Leader,

Customers, and the Salesperson. Journal of Personal Selling & Sales

Management, 28(1), 37-51.

68

Jaworski, B. J., & Kohl, A. K. (1991). Supervisory Feedback: Alternative Types and

Their Impact on Salespeople's Performance and Satisfaction. Journal of

Marketing Research, 28(2), 190-201.

John, G., & Weitz, B. (1989). Salesforce Compensation: An Empirical Investigation of

Factors Related to Use of Salary Versus Incentive Compensation. Journal of

Marketing Research, 26, 1-14.

Joseph, K. (2001). On the Optimality of Delegating Pricing Authority to the Sales Force.

Journal of Marketing, 65(1), 62-70.

Kahn, K. B., & McDonough, E. F. (1997). Marketing's Integration with R&D and

Manufacturing: A Cross-Regional Analysis. Journal of International Marketing,

5(1), 51-76.

Kopalle, P., Biswas, D., Chintagunta, P., Fan, J., Pauwels, K., Ratchford, B., & Sills, J.

(2009). Retailer Pricing and Competitive Effects. Journal of Retailing, 85(1), 56-

70.

Küster, I., & Canales, P. (2011). Compensation and Control Sales Policies, and Sales

Performance: the Field Sales Manager’s Points of View. Journal of Business &

Industrial Marketing, 26(4), 273-285.

Lal, R. (1986). Delegating Pricing Responsibility to the Sales Force. Marketing Science,

5(2), 159-168.

Lancioni, R., & Gattorna, J. (1993). Pricing for profit. Management Research News,

16(7), 1-4.

Lawrence, P. R., & Lorsch, J. W. (1986). Organization and Environment: Managing

Differentiation and Integration. Boston: Harvard Business School Press.

Le Meunier-FitzHugh, K., & Piercy, N.F. (2011). Exploring the Relationship Between

Market Orientation and Sales and Marketing Collaboration. Journal of Personal

Selling & Sales Management, 31(3), 287-296.

Lo, D. H., Ghosh, M., & LaFontaine, F. (2011). The Incentive and Selection Roles of

Sales Force Compensation Contracts. Journal of Marketing Research,

48(August), 781-798.

Madhavan, R., & Grover, R. (1998). From Embedded Knowledge to Embodied

Knowledge: New Product Development as Knowledge Management. Journal of

Marketing, 62(4), 1-12.

69

Malshe, A., & Sohi, R. S. (2009). What Makes Strategy Making Across the Sales-

Marketing Interface More Successful? Journal of the Academy of Marketing

Science, 37(4), 400-421.

Maltz, E., & Kohli, A. K. (1996). Market Intelligence Dissemination Across Functional

Boundaries. Journal of Marketing Research, 33(1), 47-61.

Maltz, E., & Kohli, A. K. (2000). Reducing Marketing's Conflict with Other Functions:

The Differential Effects of Integrating Mechanisms. Journal of the Academy of

Marketing Science, 28(4), 479-492.

Menon, A., Bhardwaj, S., Adidam, P. T., & Edison, S. (1991). Antecedents and

Consequences of Marketing Strategy Making: A Model and a Test. Journal of

Marketing, 63(2), 18-40.

Menon, A., Bharadwaj, S., & Howell, R. (1996). The Quality and Effectiveness of

Marketing Strategy: Effects of Functional and Dysfunctional Conflict in

Intraorganizational Relationships. Journal of the Academy of Marketing Science,

25(4), 299-313.

Menon, A., Bharadwaj, S., Adidam, P. T., & Edison, S. (1999). Antecedents and

Consequences of Marketing Strategy Making: A Model and a Test. Journal of

Marketing, 63(2), 18-40.

Miles, R. H., & Perreault Jr, W. D. (1976). Organizational Role Conflict: Its Antecedents

and Consequences. Organizational Behavior & Human Performance, 17(1), 19-

44.

Miao, F. C., & Evans, K. R. (2007). The Impact of Salesperson Motivation on Role

Perceptions and Job Performance—A Cognitive and Affective Perspective.

Journal of Personal Selling & Sales Management, 27(1), 89-101.

Mishra, B. K., & Prasad, A. (2004). Centralized Pricing Versus Delegating Pricing to the

Salesforce Under Information Asymmetry. Marketing Science, 23(1), 21-27.

Misra, S., Coughlan, A., & Narasimhan, C. (2005). Salesforce Compensation: An

Analytical and Empirical Examination of the Agency Theoretic Approach.

Quantitative Marketing & Economics, 3(1), 5-39.

Montgomery, B. M. (1981). The Form and Function of Quality Communication in

Marriage. Family Relations, 30(1), 21-30.

Munnukka, J. (2006). Pricing Method as a Tool for Improved Price Perception. Journal

of Revenue & Pricing Management, 5(3), 207-220.

Nagle, T. (1983). Pricing As Creative Marketing. Business Horizons, 26(4), 14-19.

70

Nagle, T. & Cressman Jr, G. E. (2002). Don’t Just Set Prices, Manage Them. Marketing

Management, 11(6), 29-33.

Nagle, T. & Hogan, J. (2007). Is Your Sales Force a Barrier to More Profitable Pricing…

Or Is It You? Business Strategy Series, 8(5), 365-368.

Oliver, R. L. (1974). Expectancy Theory Predictions of Salesmen's Performance. Journal

of Marketing Research, 11(3), 243-253.

Palazon, M., & Delgado-Ballester, E. (2009). Effectiveness of Price Discounts and

Premium Promotions. Psychology & Marketing, 26(12), 1108-1129.

Piercy, N. F., Cravens, D. W., & Lane, N. (2012). Sales Manager Behavior-Based

Control and Salesperson Performance: The Effects of Manager Control

Competencies and Organizational Citizenship Behavior. Journal of Marketing

Theory & Practice, 20(1), 7-22.

Piercy, N. F. (2006). The Strategic Sales Organization. Marketing Review, 6(1), 3-28.

Pritchard, R. D., & Sanders, M. S. (1973). The Influence of Valence, Instrumentality, and

Expectancy on Effort and Performance. Journal of Applied Psychology, 57(1), 55-

60.

Ramaswamy, V., Gatignon, H., & Reibstein, D. (1994). Competitive Marketing Behavior

in Industrial Markets. Journal of Marketing, 58(2), 45-55.

Rangarajan, D., Jones, E., & Chin, W. (2005). Impact of Sales Force Automation on

Technology-Related Stress, Effort and Technology Usage Among Salespeople.

Industrial Marketing Management, 34(4), 345-354.

Rao, V. R. (1984). Pricing Research in Marketing: The State of the Art. Journal of

Business, 57(1), 39-60.

Rouziès, D., Anderson, E., Kohli, A. K., Michaels, R.E., Weitz, B.A., & Zoltners, A.A.

(2005). Sales and Marketing Integration: A Proposed Framework. Journal of

Personal Selling & Sales Management, 25(2), 113-122.

Ruekert, R. W., & Walker, Jr., O. C. (1987). Marketing’s Interaction with Other

Functional Units: A Conceptual Framework and Empirical Evidence. Journal of

Marketing, 51(1), 1-19.

Rust, R. T., Cooil, B. (1994). Reliability Measures for Qualitative Data: Theory and

Implications. Journal of Marketing Research, 31(1), 1-14.

71

Sharma, A. & Iyer, G. R. (2011). Are Pricing Policies an Impediment to the Success of

Customer Solutions? Industrial Marketing Management, 40(5), 723-729.

Shipley, D., & Jobber, D. (1991). Salesforce Motivation, Compensation and Evaluation

by Industrial Distributors. Service Industries Journal, 11(2), 154-170.

Siguaw, J. A., Brown, G., & Widing II, R. E. (1994). The Influence of the Market

Orientation of the Firm on Sales Force Behavior and Attitudes. Journal of

Marketing, 31(1), 106-116.

Singh, J. (1998). Striking a Balance in Boundary-Spanning Positions: An Investigation of

Some Unconventional Influences of Role Stressors and Job Characteristics on Job

Outcomes of Salespeople. Journal of Marketing, 62(3), 69-86.

Smith, T. M., Gopalakrishna, S., & Chatterjee, R. (2006). A Three-Stage Model of

Integrated Marketing Communications at the Marketing-Sales Interface. Journal

of Marketing, 43(4), 534-579.

Stephenson, P. R., Cron, W. L., & Frazier, G. L. (1979). Delegating Pricing Authority to

the Sales Force: The Effects on Sales and Profit Performance. Journal of

Marketing, 43(2), 21-28.

Strahle, W., Spiro, R., & Acito, F. (1996). Marketing and Sales: Strategic Alignment and

Functional Implementation. The Journal of Personal Selling & Sales

Management, 16(1), 1-20.

Strauss, A., & Corbin, J. (1990). Basics of Qualitative Research. Newbury Park, CA.

Sage Publications.

Teas, R. K. (1981). An Empirical Test of Models of Salespersons' Job Expectancy and

Instrumentality Perceptions. Journal of Marketing Research, 18(2), 209-226

Tellis, G. J. (1986). Beyond the Many Faces of Price: An Integration of Pricing

Strategies. Journal of Marketing, 50(4), 146-160.

Tellis, G. J., & Gaeth, G. J. (1990). Best Value, Price-Seeking, and Price Aversion: The

Impact O. Journal of Marketing, 54(2), 34.

Troilo, G., De Luca, L. M., & Guenzi, P. (2009). Dispersion of Influence Between

Marketing and Sales; Its Effects on Superior Customer Value and Market

Performance. Industrial Marketing Management, 38(8), 872-882.

Tuli, K.R., Kohli, A. K., & Bharadwaj, S. G. (2007). Rethinking Customer Solutions:

From Product Bundles to Relational Processes. Journal of Marketing, 71(July),

1-17.

72

Tyagi, P. K. (1982). Perceived Organizational Climate and the Process of Salesperson

Motivation. Journal of Marketing Research, 19(2), 240-254.

Ulaga, W., & Eggert, A. (2006). Relationship Value and Relationship Quality. European

Journal of Marketing, 40(3), 311-327.

Uslay, C., Altinig, Z. A., & Winsor, R. D. (2010). An Empirical Examination of the

“Rule of Three”: Strategy Implications for Top Management, Marketers, and

Investors. Journal of Marketing, 74(2), 20-39.

Varadarajan, R. (2010). Strategic Marketing and Marketing Strategy: Domain, Definition,

Fundamental Issues and Foundational Premises. Journal of the Academy of

Marketing Science, 38(2), 119-140.

Voss, G. B., Parasuraman, A., & Grewel, D. (1998). The Roles of Price, Performance,

and Expectations in Determining Satisfaction in Service Exchanges. Journal of

Marketing, 62(4), 46-61.

Walker Jr, O. C., Churchill Jr, G.A., & Ford, N. M. (1977). Motivation and Performance

in Industrial Selling - Present Knowledge and Needed Research. Journal of

Marketing Research, 14(2), 156-168.

Weinberg, C. B. (1975). An Optimal Commission Plan for Salesmen's Control Over

Price. Management Science, 21(8), 937-943.

Weitz, B.A. (1978). Relationship Between Salesperson Performance and Understanding

of Customer Decision Making. Journal of Marketing Research, 15(4), 501-516.

Weitz, B.A. (1981). Effectiveness in Sales Interactions: A Contingency Framework.

Journal of Marketing, 45(1), 85-103.

Weitz, B. A., Sujan, H., & Sujan, M. (1986). Knowledge, Motivation, and Adaptive

Behavior: A Framework for Improving Selling Effectiveness. Journal of

Marketing, 50(Oct), 174-191.

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CHAPTER 3 (ESSAY 2)

THE EFFECTS OF (MIS)ALIGNED PRICING AND SALES FORCE

COMPENSATION STRATEGIES ON THE SALESPERSON

In this essay, the focus shifts from an understanding of the relevant relationships

between goal misalignment, the sales force, and the organization (Essay 1) to the effects

that this misalignment has on the individual salesperson (Essay 2). The purpose of Essay

2 is to use expectancy theory to examine the impact that aligned versus misaligned goals

of the pricing and sales force compensation strategies have upon the B2B salesperson’s

motivation and behavior.

The first theoretical contribution of this research is to define the nature of

alignment of differing goals for the pricing and sales force compensation strategies.

Second, this research is designed to empirically determine how a firm’s pricing strategy

influences salesperson motivation and behavior. Specifically, the lens of expectancy

theory is used to understand the salesperson’s beliefs that he/she can actually be

successful given a situation and how the achievement of his/her goals may influence how

he/she is perceived internally by management and externally by customers. Additionally,

the effects of these perceptions on motivation were examined. Finally, the impact on the

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salesperson’s behavioral intentions, given conditions of alignment or misalignment of the

pricing and compensation goals, was explored.

INTRODUCTION

Expectancy Theory

Expectancy theory prescribes that a salesperson’s actions are intentional and

focused based on what the salesperson believes or anticipates will occur. Accordingly,

the salesperson’s motivation to act in a certain way is a product of the beliefs that a

salesperson has that a certain level of effort will create the necessary results and achieve

certain rewards the salesperson values (Vroom, 1964). Historically, expectancy theory

has been effective in determining sales force motivation (Oliver, 1974; Peters, 1977;

Walker, Churchill, & Ford, 1977). The more recent expectancy theory-based research

has concentrated on supportive leadership (Jaramillo & Mulki, 2008), incentive plans

(Liccione, 2007), and strategy implementation (Smith, 2009). Each of these areas offers

foundation for this research.

Vroom’s (1964) expectancy theory has been expounded upon and applied to

salesperson performance (Oliver, 1974). The core constructs of expectancy theory

include: 1) expectancy (the belief that one’s efforts will achieve the goal); 2)

instrumentality (the belief that if one achieves the goal, certain rewards will be gained);

and 3) valence (the value that one has for the earned rewards). These three constructs

(expectancy, instrumentality, and valence) determine the salesperson’s motivation and

subsequent behavior (Chiang, Jang, Canter, & Prince, 2008). “Expectancy theory is

characterized by the view that behavior is purposeful, based on conscious intention, and

goal-directed,” (Evans, Margheim & Schlacter, 1982 p. 34).

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The concepts of effort and expectancy seem similar, however are contrary with

regard to goals. When goal levels are high, salespeople perceive high effort. At the same

time, however, lower expectancies are associated with high goal levels (Locke,

Motowidlo, & Bobko, 1986). This research adopts the definition of expectancy

referenced by Miao, Lund and Evans (2009): “Expectancy is a salesperson’s estimate of

the probability that expending a given amount of effort on a task will lead to an improved

level of performance” (p. 245). Expectancy has been referenced in literature as a

probability estimate (Pritchard & Sanders, 1973) and as a higher or lower strength

(Tyagi, 1982). In this research, the evaluation of expectancy is categorized as higher or

lower, which indicates the salesperson’s estimate of the chance or probability that his/her

performance will achieve the assigned sales goal.

Instrumentality is the salespersons’ perception of the link between a specific type

or level of performance leading to a specific type or level of reward (Walker, et al.,

1977). Instrumentality has been referenced in several different ways, such as positive,

negative, or zero (Oliver, 1974), as high probability or low probability (Teas, 1981;

Walker, et al., 1977), and as high level and low level (Hirschfeld, Schmitt & Bedeian,

2002). In this research, the evaluation of instrumentality is categorized as a strong link or

a weak link, indicating the degree to which the salesperson believes a given level of

performance will result in a given reward. Further, in this research both internal and

external rewards are examined.

Valence is the salesperson’s perception of the value or importance of obtaining a

specific reward (Pritchard et. al., 1973; Smith, 2009; Vroom, 1964). Oliver (1974), states

that a salesperson could be indifferent toward a reward whereby valence would be

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nonexistent. Past research has indicated that valence and instrumentality are highly

correlated, and that the latter is a better predictor of performance than valence (Oliver,

1974; Pritchard & De Leo, 1973). Thus, this essay focuses exclusively on the impact of

goal alignment and misalignment on expectancy and instrumentality.

Pricing and Sales Force Compensation Goals

This essay considers two main, but different, goals of an organization’s strategies:

market share growth and profit maximization. Academic interest in the goals of market

share growth and profit maximization include literature that debates the positive linear

relationship between the two goals (Schwalbach, 1991; Sheth & Sisodia, 2002; Uslay, et

al., 2010). The Rule of Three theory, developed by Sheth and Sisodia (2002), states that

almost every industry evolves towards the existence of three large generalist companies

that strive towards market share growth goals and a numerous amount of small, specialist

companies that endeavor towards profit maximization goals. Then, there are those

companies that Sheth and Sisodia (2002) claim live in the “ditch” with 5% to 10% of

market share and are neither the generalist nor the specialist, whereby both strategies can

be in play at any given time for any given product line. Within all companies, regardless

of size, there exists the potential for the goals of the revenue generating strategies to

become misaligned. The goals of market share growth and profit maximization each

suggest a particular type of pricing and sales force compensation strategy.

Market share growth

Pricing

Pricing strategies with a market share growth goal are used to further penetrate a current

distribution channel or to introduce a product to a new channel (Holden & Nagle, 1998).

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Previous literature classified pricing strategies that had a goal of increasing market share

to be characterized by discounted prices that offer buyers an incentive to purchase the

product (Sethuraman & Tellis, 1991). Research by Anderson, Fornell, and Lehmann

(1994) suggests that market share growth goals when accompanied with discounted

prices can increase customer satisfaction.

Compensation

This research associates a market share growth goal with a sales force

compensation contract that incents the salesperson to sell a high level of product volume.

Such an outcome-based compensation program allows the salesperson autonomy in

choosing their sales methods (DelVecchio & Wagner, 2011; Mahajan, Churchill Jr, Ford,

& Walker Jr, 1984). Incenting a salesperson for improving an organization’s market

share position in the market may produce short-term benefits for the salesperson.

However, the long term effects of a market share growth goal for both the organization

and the salesperson depend on the market continually expanding.

Profit maximization

Pricing

Firms may have a product pricing goal of profit maximization when they are able to

make use of economies of scale, capitalize on add-on sales with products that are

mutually dependent on one another, or exploit a competitive advantage such as vertical

integration (Tellis, 1986). Lancioni and Gattorna (1993) suggest that an organization that

develops pricing strategies with the goal of profit maximization “never compromises on

price” (p. 3). Maximizing profits through pricing involves market research as to what the

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customer is willing to pay and then raising “willingness to pay closer to the value

received” (Nagle & Cressman Jr, 2002, p. 30).

Compensation

Sales force compensation contracts with a profit maximization goal are based on

motivating the salesperson to achieve predetermined levels of gross margins. These types

of contracts are typically accompanied by a significant salary component of the

compensation package. Profit maximizing goals are established to ensure that sale of

products below a predetermined margin will occur less frequently (Weinberg, 1975). The

organization removes the risk of performance uncertainty when the compensation

contract is salary, whereby the salesperson is guaranteed a salary regardless of the

outcome (Eisenhardt, 1989). This allows the sales force to invest in activities such as

customer relationship building and communicating product differentiation and

diversification benefits.

HYPOTHESES

Expectancy

Expectancy theory suggests expectancy to be highest when the goals are easily

achievable with no conflicts, as all efforts and energies contribute to increased

performance levels. “Because difficult goals are harder to attain than easy goals,

expectancy of goal success would presumably be negatively related to performance”

(Locke & Latham, 2002, p. 706). Both aligned and misaligned goals can be perceived as

difficult and challenging, however misaligned goals increase goal difficulty as a result of

the goal conflict. Goal conflict is defined by Cheng et al. (2007) as “the degree to which

individuals feel that performance expectations (i.e., goals) with respect to the multiple

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dimensions of a task, or among multiple tasks, are incompatible” (p. 222). When the

goals of the pricing and sales force compensation strategies are misaligned the

salesperson’s levels of expectancy will likely be low.

Significant cognition is involved when a person attempts to determine the amount

of effort that might be required to meet or achieve expectations, and then act upon that

assessment (Bandura, 2001). When salespeople consider the expected goals to be

challenging their efforts are intensified. The salesperson may achieve goals that are

congruent with effort. However, misaligned goals pose the challenge of deciding which

goal to pursue whereby failure is eminent. Salespeople can become despondent when

failing to achieve difficult and conflicting goals. Research by Bandura (2001) states “if

they read their failures as indicants of personal deficiencies; if they believe they are being

exploited, coerced, disrespected or manipulated, they respond apathetically,

oppositionally, or hostilely” (p. 5). Low levels of salesperson expectancy and apathetic

behaviors are likely to occur when assigned, misaligned goals are perceived to restrict or

limit salesperson compensation and sales growth. When a discounted pricing approach is

encouraged by the firm the compensation contract encourages the salesperson to invest

time building a customer relationship and an understanding of the customer needs. A

profit maximization compensation strategy encourages the salesperson to sell the

customer a product or service solution that brings the most profit to the selling firm. In

this situation, the salesperson will perceive extremely low expectancies as the level of

performance required to obtain the sales goal as insurmountable.

In the setting where the goals of the pricing and sales force compensation

strategies are misaligned, the salesperson perceives low expectancies as a result of goal

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and role conflict. In specific situations where the salesperson estimates that the

probability of his/her efforts and activities will not improve his/her level of performance,

the salesperson’s expectancy is the lowest. In this line of reasoning the following

hypotheses are suggested:

Hypothesis 1a: When the goals of the pricing and sales force compensation

strategy are misaligned, the salesperson’s expectancy will be lower than

when the goals are aligned.

Hypothesis 1b: When the goal of the sales force compensation strategy is

profit maximization and the goal of the pricing strategy is market share

growth, the salesperson’s expectancy will be lowest.

Instrumentality

When the salesperson considers how his/her performance, and related activities

required to obtain that performance, relate to the reward that he/she might obtain, the

salesperson evaluates all of the organizational elements that enable the performance as

well as the type of reward (Teas, 1981). For salespeople, rewards are not only financial,

but also come in the form of recognition both internally from managers (Cron, Dubinsky,

& Michaels, 1988; Pritchard & Sanders, 1973; Teas, 1981) and peers, and externally

from customers (Teas, 1981).

When the pricing and sales force compensation goals are congruent, the signals to

the market are echoing the efforts of the salespeople and the voice of marketing

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(Homburg, Jensen, & Krohmer, 2008). As a result of goal alignment, the salesperson

feels a part of the collective sales and marketing process that also serves to reduce the

salesperson’s perceived risk that his/her objectives will not be met. In situations where

there is goal alignment between the pricing and sales force compensation strategies the

salesperson will perceive the opportunity to achieve the goal that may be challenging, but

is realizable. This provides strong instrumentality for the salesperson. Therefore,

Hypothesis 2a: When the goals of the pricing and sales force compensation

strategy are misaligned, the salesperson’s instrumentality will be weaker

than when the goals are aligned.

Compensation contracts designed to incentivize salespeople to grow market share

are based on providing commissions for achieving that outcome. These types of contracts

are appealing because salespeople under these contracts require little supervision during

the process, and instead management’s job is to measure whether the desired outcomes

were achieved or not (Anderson et. al., 1987; Cravens, Ingram, LaForge & Young, 1993;

Eisenhardt, 1989). Salespeople paid to grow market share, but armed with a list price and

no authority to discount prices, will perceive little or no opportunity to achieve their

objectives. With this type of goal mismatch, the progress of the sales force may be easy

to monitor, but the sales force may consider the pricing too high to achieve required

performance objectives. Instrumentality is low or weak if the salesperson perceives that

there is no relation between his/her level performance and reaching a threshold or gaining

a reward (Tyagi, 2010). With a goal of growing the market, but the constraint of no

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flexibility on already higher prices, the salesperson may perceive reaching his/her goal

impossible. Hence,

Hypothesis 2b: When the goal of the compensation strategy is market share

growth and the goal of the pricing strategy is profit maximization, the

salesperson’s instrumentality will be the weakest.

Motivation

Sales force motivation is an accumulation of individual perceptions that precludes

performance outcomes (Oliver, 1974; Vroom, 1964). Expectancy theory not only

identifies situational, organizational, and individual variables that influence behavior, the

theory enables the exploration of the process by which these variables are influential

(Tyagi, 1982). The expectancy theory framework has been expanded in past literature to

include intrinsic and extrinsic motivation types (Oliver & Anderson, 1994; Tyagi, 1982).

Given that intrinsic motivation has been demonstrated to be a rather stable, trait-like

individual characteristic (Amabile 1993, 1994) and that the focus of this essay is on how

pricing—a factor external to the salesperson—affects the salesperson, extrinsic

motivation is the more relevant variable for this research.

Expectancy theory offers that motivation is the result of a multiplicative

relationship between the salesperson’s perceived level of effort required to complete or

accomplish a task to produce progress toward his/her overall performance objective and

instrumentality (Broedlirig, 1975). Previous expectancy theory literature has found

support for individual motivation and behavior being influenced by perceptions of his/her

83

environment (Oliver, 1974; Teas et. al., 1986). This well-established relationship among

perceived effort, instrumentality and motivation is examined empirically in this study to

illustrate the full influence of the interaction of pricing and sales force compensation

goals on the salesperson. Hence,

Hypothesis 3: The interaction of the salesperson’s expectancy and instrumentality

will be positively related to the salesperson’s extrinsic motivation.

Behavioral Intention

Behavioral intention is defined as “a person’s perceived likelihood or subjective

probability that he/she will engage in a given behavior” (Committee for Communication

for Behavior Change in the 21st Century, 2002, p. 31). According to the theory of planned

behavior (Ajzen, 1991), behaviors are predetermined by behavioral intentions. A person’s

behavioral intention occurs on a continuum as a measure of strength or degree of the

intent (Armitage & Conner, 2001). This research references a low level of salesperson

behavioral intention for a low degree of goal commitment and a high level of behavioral

intention for strong or high degree of goal commitment.

The sales force compensation strategy is designed to direct salesperson behaviors

such that the goals of the compensation strategy are achieved. When the salesperson is

exposed to multiple or conflicting goals the intended behaviors of each of those goals

lose priority or focus. Research has found that when an individual is experiencing goal

conflict the performance of and commitment towards one goal is sacrificed at the expense

of the other goal (Cheng, Luckett, & Mahama, 2007; Locke, Smith, Erez, Dong-Ok, &

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Schaffer, 1994; Schmidt & Dolls, 2009). Misaligned goals of the pricing and sales force

compensation strategies allow for the salesperson to subjectively determine which goals

to pursue, in which behaviors to engage and to what extent. The consequence of

misaligned goals of the pricing and sales force compensation strategies with regard to

behavioral intention is the possibility of low behavioral intention. Hence,

Hypothesis 4: When the goals of the pricing and sales force compensation

strategy are misaligned, the salesperson’s behavioral intention will be

lower than when the goals are aligned.

METHODOLOGY

An experiment was used to test the hypotheses in this essay. The experiment was

scenario-based, with a between-subjects design. The experiment was used to examine the

differences in the expectancy, instrumentality, extrinsic motivation, and behavioral

intention of B2B salespeople across different combinations of goals of pricing and sales

force compensation strategies. The design was appropriate for this research as the use of

scenarios allowed for a more powerful and controlled manipulation of goal alignment and

misalignment. The study was designed to ascertain the ways in which a firm’s pricing

strategy may influence the salesperson.

The context in which this study evaluated the effect of (mis)aligned goals of the

pricing and sales force compensation strategies was B2B markets. B2B markets include

industrial sales and wholesaling wherein there tends to be a commoditization of products

and services resulting in downward pressures on price. Sales growth within the B2B

market is dependent upon the organization’s sales force (Behrman & Perreault, Jr. 1982).

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The organization’s profitability and market share are premised on the selling

organization’s pricing strategies (Homburg, Jensen, & Hahn, 2012; Ramaswamy,

Gatignon, & Reibstein, 1994). The decisions of the sales force and the price of the

product or service are critical marketing components which influence success for an

organization in B2B markets (Homburg, et al., 2012).

In the pretest and main study described in the following sections, B2B sales

professionals were randomly assigned to one of four scenarios. In the scenarios the goals

were either aligned or misaligned. Specifically, the goal of the pricing strategy was either

market share growth or profit margin maximization, and the goal of the sales force

compensation strategy was either market share growth or profit margin maximization.

For ease of referencing throughout the rest of this section, the scenarios will be

referenced by the designated acronym; the compensation goal is referenced first, the

pricing goal is referenced second. Acronyms are shown below in Table 2.1.

Table 2.1. Scenarios

Strategy

Sales Force

Compensation Goal Pricing Goal Acronym*

Misaligned Profit maximization Market share growth PM-Mis

Misaligned Market share growth Profit maximization MP-Mis

Aligned Profit maximization Profit maximization PP-Align

Aligned Market share growth Market share growth MM-Align

* The sales force compensation strategy goal is always referenced first within the

acronym.

After reading the scenario, the participants in each group completed a brief

questionnaire to assess whether the conditions influenced the salespeople’s level of

expectancy, instrumentality, extrinsic motivation and behavioral intent. In addition,

participants responded to a series of questions that were used for manipulation checks

86

and to collect demographic information. The overall goal of the research design and

methodology was to elicit perceptions from salespeople, across industry sectors, by

placing them in a realistic selling environment inclusive of the manipulation of key

factors under investigation.

An ANOVA is a test of group differences that determines whether or not two or

more groups differ with respect to the one dependent variable. ANCOVA is a test of

association or covariation to determine whether or not there a relationship between two or

more variables within a group. A covariate is a variable that is related to the dependent

variable (expectancy, instrumentality, or behavioral intention). The objective of

conducting the ANCOVA would be to remove the relationship of the covariate from the

dependent variable prior to assessing the differences on the on the independent variables.

ANOVA was used for the pre-test to isolate only the differences in means while the

effectiveness of the scenarios was being assessed. The hypotheses tested included

control variables, thus ANCOVA was used. To test if differences in means across groups

existed in both the pre-test and main study, respondents were grouped.

Multiple tests were conducted both using the groupings based on the scenario

viewed by the respondent (therefore, a four-level factor, see Table 2.1, Acronym column)

and a second set of groupings represented the alignment or misalignment group (a two-

level factor, see Table 2.1, Strategy column). The information within each factor is

unique to each level or category. The factors representing the scenarios and alignment are

categorical variables. A one-way ANOVA is used when there are categorical

independent variables and one dependent variable (Leech, Barrett, & Morgan, 2008). A

one-way ANOVA tests the differences in means based on the ratio of between group

87

variance to within variance. Previous marketing literature has used ANOVA to test

variance with scenario-based, between-subjects experiments (Dutta, Biswas, and Grewal,

2007; Miao, Lund et al. 2009; Wagner, Hennig-Thurau, and Rudolph, 2009; Küster and

Canales, 2011; Palazon¸ and Delgado-Ballester, 2009).

The following section provides details on the derivation of the instrument.

Subsequent sections describe the pretest and main study procedures, statistical tests,

results, and conclusions.

Design

The four scenarios were initially developed based on the scholar’s industry

experience and refined through discussion with other B2B sales professionals. In

marketing, the majority (70%) of experimental scenarios are created by the scholar

himself/herself (Wason, Polonsky & Hyman, 2002). This convention was followed. After

each scenario was developed, each scenario was rotated among the dissertation

committee for refinement. Following the changes to the scenarios, each scenario was then

shown to a group of salespeople for comments before the formal pretest.

Prior to the pretest an analysis of the scenarios was performed with a set of B2B

salespeople. The objective was two-fold: 1) to confirm that the language of the

hypothetical scenarios was appropriate for the salespeople; and 2) to maximize the

differences among the scenarios. According to previous literature, the experimental

conditions in the scenarios should be emphasized (Burstin, Doughtie & Raphaeli, 1980)

and created to maximally differ from one another (Kerlinger, 1973).

The survey that followed the scenario included reflective multi-item measures

obtained from extant literature for all latent variables. More detail on the scales used for

88

each variable will be provided in the pretest and main study sections. All items were

adapted to fit the purpose of this study. The scenarios and pretest and main study survey

items appear in Appendix B.

Pretest

The pretest instrument was administered in an online panel forum. Extreme care

was taken to protect the validity of the context, which contributed to the challenge in

obtaining a pretest sample of 60. The pretest was administered to 171 participants.

However, 30 respondents were screened out of the survey as their current responsibilities

did not include managing customers. Respondents who did not sell into B2B markets

also were excluded from the survey, reducing the respondent count by 44. Two quality

control filters were placed in strategic locations within the survey to ensure that

respondents were indeed reading the questions. The quality control filters asked the

respondents to “Please select Strongly Agree to continue” and “Please select Strongly

Disagree to continue”. The 26 respondents who did not respond as directed were

prevented from finishing the survey. A total of 11 respondents had not completed the

survey within the 10 day activity period, therefore those surveys were excluded. The

total pretest sample of 60 respondents is in accordance with previous literature

(Diamantopoulos, Reynolds, & Schlegelmilch, 1994) which has suggested pretest sample

sizes should be small (i.e., up to 100 respondents). The sample was spread across the

four groups through the randomization of scenarios and established quotas for each

group. The distribution of respondents across groups is listed in Table 2.2.

89

Table 2.2. Pretest respondents per condition

Conditions N = 60

PM-Mis 16

MP-Mis 15

PP-Align 15

MM-Align 14

Demographics

The 60 sales professionals who participated in the pretest met two criteria: 1) they

had account responsibilities, and 2) they sold in B2B markets. The demographics in

Table 2.3 indicate that the sample was suitable and representative of B2B sales

professionals and therefore appropriate for the pretest.

Table 2.3. Pretest participant demographics

TABLE 2.3. Participant demographics (n = 60 salespeople)

Variable Number PercentAccum

Percent

Job Title

28 46.7 46.7

27 45.0 91.7

5 8.3 100

1-9 years 30 50.0 50.0

25 41.6 91.6

5 8.3 100.0

1-9 years 48 80.0 80.0

10 16.6 96.6

2 3.4 100.0

Salesperson

Sales Manager with accounts

Other type of sales professional

with accounts

Sales Experience

10-19 years

> 20 years

Company Sales Experience

10-20 years

> 20 years

90

TABLE 2.3. Participant demographics continued (n = 60 salespeople)

Variable Number PercentAccum

Percent

Gender

Male 39 65.0 65.0

Female 21 35.0 100.0

Education

9 15.0 15.0

11 18.3 33.3

8 13.3 46.6

25 41.7 88.3

7 11.7 100.0

Industry

5 8.3 8.3

4 6.7 15.0

Retail 4 6.7 21.7

3 5.0 26.7

Unknown 3 5.0 31.7

3 5.0 36.7

3 5.0 41.7

3 5.0 46.7

Clothing 2 3.3 50.0

Sales 2 3.3 53.3

2 3.3 56.6

2 3.3 59.9

1 1.7 100.0

0-9% 19 31.7 31.7

10 16.7 48.4

8 13.3 61.7

4 6.7 68.4

2 3.3 71.7

7 11.6 83.3

6 10.0 93.3

0 0.0 93.3

1 1.7 95.0

0 0.0 95.0

100% 3 5.0 100.0

Manufacturing

High School/GED

Some College

2-Year College Degree

4-Year College Degree

Graduate Degree

Software/development services

Automotive

Electronics

Insurance/Risk Management

Computers

Telecommunications

TV/Cable

*Accessories, Agriculture Products, Cell Phones, Corporate

Management, Electrical, Finance, Healthcare, Housing,

Industrial, Information Technology, Jewelry, Merchant

Services, Metal Fasteners, Metal Finishing/Manufacturing,

Office Supplies, Printing, Publishing, Pump & Motors,

Services, Souvenirs, Telemarketing, Wholesale, Wine.

* 24 Industries

20%-29%

Commission % of Compensation

10%-19%

90%-99%

30%-39%

40%-49%

50%-59%

60%-69%

70%-79%

80%-89%

91

Pretest Analysis

The overall results of the pretest were not as strong as expected, and the

hypotheses were not tested since one of the manipulation checks did not operate as

intended. However, valuable insights were gained in the pretest (as is part of the purpose

of a pretest), and changes that will be explained later were made to the main study based

on these findings. The statistical program, SPSS 18, was used to determine descriptive

statistics, assess the reliability of the scales with Cronbach’s alpha, and analyze

differences across groups with ANOVA. The following sections evaluate the

effectiveness of the manipulations and the reliability of the variables of interest during

the actual pretest of the instrument.

Manipulation Check and Related Issues

To create realistic manipulations, the author consulted with salespeople within the

context of this research (Wagner et al., 2009). The interviews from Essay 1 provided

common details of pricing and sales force compensation goals. To test the

manipulations, a one-way ANOVA was performed to determine if the results differed

across scenarios as intended. The manipulation check question for the pricing strategy

asked participants to reflect on the scenario they had just read and select a response to “In

the scenario, the goal of the pricing strategy is to maximize profits” (1 = “strongly

disagree to 7 = “strongly agree”). To test whether or not differences existed, respondents

who had viewed a scenario containing a profit maximizing pricing goal (MP-Mis and PP-

Align) were grouped together and called “Price_Strat_Profit” and compared to the two

groups who did not view a scenario containing a profit maximizing pricing goal (MM-

Align and PM-Mis). The results of the one-way ANOVA comparing items across the two

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groups found that the manipulation was successful (Price_Strat_Profit: M = 5.86, SD =

1.22; NOT_Price_Strat_Profit: M = 4.90, SD = 1.72; F = 6.14, p ≤ .05).

The other manipulation check question was used to evaluate the strength of the

differences in the scenarios for the goal of the sales force compensation strategy.

Participants were asked to reflect on the scenario they had just read and select a response

to the question “In the scenario, the goal of the sales force compensation strategy is to

increase market share” (1 = “strongly disagree to 7 = “strongly agree”). To analyze this

manipulation, a new variable (Comp_Strat_MS) was computed grouping those

respondents who had viewed a condition where the sales force compensation goal was

market share growth (MP-Mis and MM-Align) and those who had not. The results of this

sales force compensation manipulation check were not as strong as expected

(Comp_Strat_MS: M = 5.87, SD = 1.14; NOT_Comp_Strat_MS: M = 5.30, SD = 1.62; F

= 2.45, p = .12).

Research has shown that order effects recall (Dahl, Brimacombe, and Lindsay,

2008; St Clair-Thompson, and Allen, 2012). Respondents in experiments are more likely

to recall the items presented at the end of a long series of information, called recency

effect, as opposed to placing more weight or recalling the items at the beginning of a long

series of information, called primacy effect (Pinsker, 2011). Research has found that

information length and pattern can reduce order effects (Trotman and Wright, 2000). To

mitigate this concern a summary statement describing both goals was added to the end of

the scenarios. For example, “In summary, the goal of the sale force compensation

strategy is to maximize profits and the goal of the pricing strategy is to increase market

share.” The manipulation check items were retained for the main study.

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Realism Check

Research by Darley and Lim (1994) notes that “creating realism and involvement

checks is a difficult endeavor, [and] the importance of ensuring experimental realism

calls for nothing less” (p. 493). The realism of the selling environment was tested with

two items. Salespeople were asked the degree to which they agreed with the following

two statements: “I can imagine a company actually implementing the initiatives described

in the scenario”, and “The sales situation described in the scenario likely occurs in

business today” (1 = “strongly disagree to 7 = “strongly agree”). A new composite

variable was computed from the average of the two realism items. For future reference,

this scale item is called Realism.

To test whether realism differed across scenarios (as well as to test for differences

in other constructs throughout the study), a variable was computed that identified whether

a particular condition was aligned or misaligned. For future reference, this variable will

be referred to as Alignment. A one-way ANOVA tested whether perceptions of Realism

differed across conditions of aligned goals versus misaligned goals. Results showed no

significant difference in the rating of scenario realism. Overall, the participants found the

scenario to be realistic. (Aligned: M = 5.77, SD = .98; Misaligned: M = 5.77, SD = .96; F

= .00, p = .99). The realism items were retained for the main study.

Interpretation Check

The interpretation check was established to verify the attractiveness of the reward

described in the scenario as offered by the company if the salesperson achieved the sales

force compensation goal. In the scenario, the participants learned that the commission

“will increase by an additional 3% on total monthly sales when you achieve your new

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goal.” The interpretation of the attractiveness of the reward was measured on a seven-

point Likert scale ranging from (1) “very unattractive” to (7) “very attractive”. An

analysis of variance for participants who viewed the aligned conditions versus those who

viewed misaligned conditions was not statistically significant (≤ .05) (Aligned: M = 5.03,

SD = 1.15; Misaligned: M = 4.87, SD = 1.28; F = .86, p = .46). The interpretation check

verifies that across scenarios the commission is not influencing one group more than any

other. This item was retained for the main study.

Conflict Check

The study suggests that salespeople who were exposed to the misaligned

conditions should experience a higher degree of goal conflict than the salespeople

exposed to the aligned conditions. The conflict check item was adapted from the goal

conflict scale of Locke, Smith, Erez, Chah and Schaffer (1994). Participants were asked,

“To what degree do you feel the pricing goal in the scenario is in conflict with the sales

force compensation goal?” (0= “not at all” to 100= “completely”). Analysis of variance

was used to test the difference in perceptions of goal conflict between aligned and

misaligned groups. While directionally appropriate (misaligned groups rated a higher

level of goal conflict than aligned groups), there was near significance (where

significance ≤ .05) regarding respondent goal conflict between those exposed to the

aligned scenarios versus the participants exposed to the misaligned scenarios (Aligned: M

= 58.07, SD = 22.06; Misaligned: M = 68.16, SD = 20.761; F = 3.33, p = .07). As

indicated earlier, the addition of the summary statement to the scenarios in the main study

was expected to make the conditions more robust to the participant. For the main study, a

second more direct, conflict check question was added: “In the scenario, the goal of the

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pricing strategy is in conflict with the goal of the sales force compensation strategy” and

was measured on a seven-point Likert scale with anchors 1= “strongly disagree” to 7=

“strongly agree”.

Behavioral Intention

In this study, behavioral intention reflects the extent to which the salesperson will

commit to the activities and behaviors needed to pursue a stated goal. The two

behavioral intent items were adapted from Locke et al. (1994). The respondents were

asked to reflect on the degree to which they would: 1) “try to achieve the pricing goal”,

and 2) “try to achieve the sales force compensation goal” (0 = “not at all” to 100 =

“completely”).

A higher level of behavioral intention is expected of a salesperson when the goals

are aligned. A one-way ANOVA was used to determine whether the behavioral intention

differed across the two groups. The salesperson’s intention to achieve the goals of the

scenarios was not significantly different across aligned or misaligned strategies (Aligned:

M = 78.03, SD = 18.73; Misaligned: M = 81.50, SD = 15.08; F = .63, p = .43). As noted

previously, the strength of the scenarios needed to be improved. The behavioral intention

items were retained for the main study.

Expectancy

The measure of a salesperson’s estimate of the probability that a prescribed

amount of effort will lead to a higher level of performance was adapted from Sims et al.

(1976). The five items were developed to quantify a salesperson’s probability estimates

of successful sales goal achievement. For example, survey participants were asked to

select a response that best represents their feelings to the statement “Performing my

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duties as well as I am capable would result in reaching my sales goal,” measured on a

seven-point Likert scale (1 = “strongly disagree to 7 = “strongly agree”). The reliability

analysis on the five-item expectancy scale produced a Cronbach’s alpha coefficient of

.84. This measure of internal reliability would be improved to .91 with the removal of the

one reverse coded item: “It would be unlikely that my efforts would enable me to achieve

the goal for this product line”. This item was omitted for the main study.

When analyzing the variance of the four-item expectancy scale across aligned and

misaligned conditions, salesperson expectancy for viewers of the aligned scenarios was

not significantly different from the respondents who viewed the misaligned scenarios. A

one-way ANOVA was used to determine whether Expectancy differed across the two

groups represented by Alignment (Aligned: M = 4.95, SD = .95; Misaligned: M = 4.63,

SD = 1.20; F = 1.35, p = .25). The four items were retained for the main study, and as

mentioned before the scenarios were refined.

Instrumentality

Instrumentality is the salesperson’s perceived link between performance and

reward. The five item scale was adapted from Teas (1981). Of the five survey items

used to measure instrumentality, two questions focused on monetary rewards and three

questions concentrated on performance recognition. Throughout the rest of this section,

the constructs will are referenced as INST_ Monet with items coded as INST_Monet a,

INST_Monet_b; and INST_Perf_Rec with items coded as INST_Perf_Rec_c,

INST_Perf_Rec_d, and INST_Perf_Rec_e. Examples of instrumentality items include

“If I achieve my sales goal, I will be viewed more favorably by my customers” and

“Reaching my sales goal will result in earning my commission”, measured on a seven-

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point Likert scale (1 = “strongly disagree” to 7 = “strongly agree”). The internal

reliability for the five items creating the instrumentality construct was .61. However,

including the two items in INST_Monet resulted in an improved Cronbach’s alpha of .78.

The univariate analysis of variance of INST_Monet exhibited near significance (where

significance ≤ .05) between aligned and misaligned scenario conditions (Aligned: M =

5.43, SD = 1.05; Misaligned: M = 5.89, SD = 1.00; F = 2.93, p = .09).

Given these results and a review of the literature, the decision was made to create

a more voluminous, multi-dimensional scale for the main study (Chowdhury, 1993; Cron,

et al., 1988). An eight-item instrumentality measure was created for the main study. The

monetary reward dimension was expanded by one item (for a total of three items), which

stated: “If I reach my sales goal my overall pay will increase.” The instrumentality

dimension representing performance recognition was expanded to five items—three

items reflecting customer recognition of the salesperson’s efforts and two items reflecting

recognition of the salesperson within his/her own firm. The items in the pretest

maintained the multi-dimensional complexity of instrumentality scales with much fewer

items, which may have been the reason for a low internal reliability score.

Extrinsic Motivation

Extrinsic motivation is the existence of an entity “external to the work” that

stimulates a level of performance; examples are “a reward or recognition” (Amabile, Hill,

Hennessey, & Tighe, 1994, p. 950). A five-item scale adapted from Amabile et al.

(1994) was used to assess the level of extrinsic motivation across aligned and misaligned

strategies condition groups. One such item included “the extra money that I could earn

from achieving the sales goal would strongly motivate my efforts” (1 = “strongly

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disagree” to 7 = “strongly agree”). The Cronbach’s alpha coefficient of .86 was again

above the recommended level of .70 (Nunnally, 1978). A one-way ANOVA was used to

determine whether extrinsic motivation differed across the two groups represented by

Alignment. There was no significant difference (Aligned: M = 5.64, SD = 1.01;

Misaligned: M = 5.96, SD = .86; F = 1.74, p = .19). All items were retained for the main

study.

Goal Difficulty

Goal difficulty “refers to the difficulty individuals perceive in implementing a

goal” (Fang, Palmatier, & Evans, 2004, p. 189). If goals are misaligned, the perception

of goal difficulty should increase. The internal reliability of the three-item scale was .39.

However, reliability increased to .63 with the removal of the reverse coded item “I would

have little difficulty in reaching my assigned sales goal,” measured on a seven-point scale

(1) “strongly disagree” to (7) “strongly agree”. Following a further review of the other

two items “My assigned sales goal would be very difficult to achieve” and “Given the

details in the scenario, my assigned sales goal is challenging,” and the goal difficulty

literature, a decision was made to make the questions more relevant to the pricing

strategy and more specific with regard to the level of difficulty.

New goal difficulty questions were created for the main study. The new questions

included: “The pricing strategy will make it more difficult to achieve my assigned sales

goal” (1 = “strongly disagree” to 7 = “strongly agree”); “The pricing strategy makes

achieving the assigned sales goal ___,” (1 = “much easier” to 7 = “much harder”); and “

The assigned sales goal in the scenario would be ____,” (1 = “not difficult at all” to 7 =

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“very difficult”). The enhanced questions and the more robust scenarios were designed

to improve the reliability of this construct for the main study.

Main Study

Based on the findings of the pretest, the following changes were made to the

instrument for the main study: the scenarios were strengthened; one additional conflict

manipulation item was added; three additional instrumentality items were added; and the

three goal difficulty questions were enhanced to reference both pricing and sales goals.

In addition, the scenarios were made more robust with a summary statement at the end of

each scenario, for example in the PP-Align scenario the summary statement read as

follows, “In summary, the goal of the sales force compensation strategy is to maximize

profits and the goal of the pricing strategy is to maximize profits.” The addition of this

statement improved the manipulation effects, signifying that indeed respondents read and

understood the goals of both the pricing and sales force compensation strategies

described in the scenarios. The conflict manipulation check was effectively strengthened

with the addition of a second, more direct question. More depth was added to the

instrumentality construct. The main study added three items to the five items used in the

pretest. The additional instrumentality items included one new item representing

monetary rewards and two items representing customer facing performance recognition.

The three goal difficulty items were made more specific by referencing the pricing and

the sales goal in each item. In the pretest, the items only referenced the sales goal.

Data for the main study was collected after the analysis of the pretest was

completed and the instrument was amended as noted in the previous sections. The main

study instrument was administered in an online panel forum and was collected within

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seven days. A total of 1,670 individuals were invited to participate although not all were

qualified to participate in the study. The breakdown of respondents (1,325) that were

either not qualified or that did not respond to qualifier questions included: 1) they did not

begin the survey (less 81 respondents), 2) they did not provide consent to participate in

the survey (less 260 respondents), 3) they did not respond to the question regarding their

current job responsibilities (less 46 respondents), 4) their current responsibilities did not

include managing customers (less 442 respondents), or 5) they did not sell into B2B

markets (less 496 respondents). The remaining 345 qualified respondents comprised of

invited and consenting online panel sales professionals that had account responsibilities

and sold in B2B markets.

Further evaluation of the 345 qualified respondents resulted in elimination of 170

respondents for reasons that included: 1) they failed to respond to a question (less a total

of 35 respondents) or 2) they failed one of the two quality control filters placed randomly

in the survey (less a total of 135 respondents). The remaining 175 respondents (51% of

345) were then evaluated on passing or failing the manipulation check and conflict

verification questions. Details of the manipulation check process are to follow in the

manipulation check section. Table 2.4 Main Study Survey Participation details the

evolution of usable complete surveys.

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Table 2.4. Main study survey participation

Respondent Action- Description

Total

Survey

Count

Survey

Adjustment

Count Percent*

Invited to participate in the Survey 1670 1670 nq

Began the survey 1589 -81 nq

Gave consent to participate 1329 -260 nq

Responded to question 2 (What

describes your job?) 1283 -46 nq

Had account responsibilities 841 -442 nq

Sold in B2B markets 345 -496 100%

Responded to question 4 (Manipulation

check) 325 -20 94%

Responded to question 6 (Realism

check) 317 -8 92%

Responded to question 13 (Behavioral

intention) 314 -3 91%

Passed first quality control filter (Select Strongly Agree to continue) 213 -101 62%

Passed second quality control filter

(Select Strongly Disagree to continue) 179 -34 52%

Responded to years of selling experience 175 -4 51%

Passed compensation manipulation

check 151 -24 44%

Passed pricing manipulation check 138 -13 40%

Determined degree of conflict 136 -2 39%

Identified goal conflict 135 -1 39%

* nq = respondent not qualified to participate in the survey.

Percentage reported is what is remaining from the qualified sample of 345.

Main Study Analysis

Manipulation Check and Related Issues

The data from the remaining 175 respondents was evaluated to confirm that

respondents passed the two manipulation checks regarding the goals of the pricing and

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sales force compensation strategies. Additional confirmations were made to assure that

the online panel respondents were not merely selecting options without clearly reading

the scenario. While a researcher cannot read the mind of the respondent, additional

efforts can be taken to systematically assess additional manipulation checks. (See Perdue

and Summers [1986] for additional approaches to manipulation checks in experiments.)

The decision rules applied (four separate double elimination procedures based on extreme

responses indicating lack of understanding the experimental scenarios) can be duplicated

on similar contextual samples such that the sample would yield similar findings. The

double elimination procedures considered the affirmation (understanding) and negation

(lack of understanding) of the compensation, pricing, and alignment/misalignment

manipulations.

The first manipulation check question asked respondents to confirm the sales

force compensation goal in the scenario, “The goal of the sales force compensation

strategy is to increase market share (1= "strongly disagree" to 7 = "strongly agree").”

Elimination evaluation for the first check involved looking at respondents that viewed

compensation scenarios where the compensation strategy was profit maximization (PM

and PP) and eliminating all respondents that chose seven, “strongly agree” (i.e., they

believed the goal was market share when it was profit maximization). An additional

evaluation was then performed to verify the affirmation. All of the respondents that

viewed compensation scenarios where the compensation strategy was market share

growth (MP and MM) and chose one, “strongly disagree” were removed (i.e., did not

believe the goal was market share when it was in fact market share). In total 24

responses were eliminated based on this method. The remaining 151 respondents (44%

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of 345 qualified respondents) were then evaluated for passing or failing the pricing goal

manipulation.

The second, double elimination procedure occurred when respondents were

requested to report if the goal of the pricing strategy, in the scenario, was to maximize

profits. Consistent with the evaluation of the first manipulation check question, the

responses to the question, “The goal of the pricing strategy is to maximize profits,” based

on 1 = "strongly disagree" to 7 = "strongly agree" were evaluated and eliminated when

the manipulation clearly failed. Those respondents that viewed a scenario where the

pricing strategy was market share (PM and MM) and chose a response of seven,

“strongly agree” were eliminated (i.e., they believed the goal was profit maximization

when it was market share). The second step in the pricing evaluation process included

respondents that viewed a scenario where the pricing strategy goal was to maximize

profits (MP and PP) and chose a one “strongly disagree”; those respondents were

eliminated (i.e., they did not believe the goal was profit maximization when it was in fact

profit maximization). In total 13 responses were eliminated based on this method.

The remaining 138 responses (40% of 345 qualified respondents) were evaluated

based on the identification of congruent or incongruent goals. In the third evaluation

manipulation procedure, the respondents were asked to determine the degree of goal

congruence in the scenario they viewed. The responses to the question, “To what degree

do you feel the pricing goal in the scenario is in conflict with the sales force

compensation goal? (0 = "not at all" to 100 = "completely"),” were reviewed based on the

established decision rule. If the respondent viewed a scenario with congruent goals (MM

or PP) and indicated that the goals were completely in conflict, the response was removed

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(i.e., they believed the goals were in conflict when the goals were not in conflict). During

the second confirmation of manipulation on this question, respondents that viewed a

scenario with incongruent or misaligned goals (PM or MP) and indicated that the goals

were “not at all” in conflict were removed (i.e. they did not believe the goals were in

conflict when the goals were in fact in conflict). Only two respondents were removed.

In the fourth elimination, the remaining 136 respondents (39.4% of 345 qualified

respondents) were evaluated on their ability to identify goal congruence or incongruence

in the scenario. Once again, a double elimination procedure was performed on the

responses. The question, “The goal of the pricing strategy is in conflict with the goal of

the sales force compensation strategy, respond, 1= "strongly disagree" to 7 = "strongly

agree",” allowed salespeople to choose the response that applied to the scenario that was

viewed. Respondents that viewed scenarios that affirmed the sentence, (scenarios PM

and MP) and yet chose one, “strongly disagree” were removed (i.e., they did not believe

the goals were in conflict when they were in fact in conflict). Likewise, respondents that

viewed scenarios that negated the sentence, (scenarios PP and MM) and yet chose seven,

“strongly agree” were removed (i.e., they believed the goals were in conflict when they

were not in conflict). Only one respondent was removed. The main study sample resulted

in a total of 135 out of the 345 qualified respondents completing the survey for a 39%

usable response rate.

The last evaluation method used to eliminate respondents was response time.

Insufficient response time and excessive response time when compared to the average

were eliminated (Swain, Weathers, & Niedrich, 2008). After all of the prior evaluation,

there were no respondents removed as a result of deviations from the average response

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time. The evaluation of the manipulations of this study followed a strict removal process

that better ensured the validity of the experimental process. Removing those respondents

that failed the manipulation checks using the Extreme method resulted in a sample size of

135 respondents, spread relatively equally across conditions. The sample size of 135 was

used to test the hypotheses. A breakdown of the demographics is listed below in Table

2.5.

Table 2.5. Main study participant demographics

Participant demographics (n = 135 salespeople) Variable Number Percent

Job Title

Salesperson 61 45.0

Sales Manager with accounts 50 37.0

Other type of sales professional with

accounts 24 18.0

Sales Experience

0-14 years 69 51.1

> 15 years 66 48.9

Company Sales Experience

1-9 years 91 67.0

10-19 years 31 23.0

> 20 years 13 10.0

Gender

Male 77 57.0

Female 58 43.0

Education

High School/GED 13 9.6

Some College 30 22.2

2-Year College Degree 24 17.8

4-Year College Degree 52 38.5

Graduate Degree 16 11.9

Industry

Service 79 59.4

Product 54 40.6

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Table 2.5 continued

Commission % of Compensation

0-24% 64 48.1

25%-100% 69 51.9

The distribution of respondents across groups is listed in Table 2.6.

Table 2.6. Main study respondent per condition

Treatment Groups N = 135

PM-Mis 31

MP-Mis 39

PP-Align 31

MM-Align 34

To test the manipulations of the sales force compensation and pricing goals, two

separate one-way ANOVAs were performed using the variable created from the

manipulation items; one for checking the manipulation of the compensation strategy

(Manip_Ck_Compensation) and one for checking the manipulation of the pricing strategy

(Manip_Ck_Pricing). An ANOVA testing the compensation goal used

Manip_Ck_Compensation across the variable that represented all scenarios with a market

share compensation goal, Comp_Strat_MS. The difference in Manip_Ck_Compensation

was significant (≤ .001) across those conditions with a market share compensation

strategy and those without a market share compensation strategy (Comp_Strat_MS: M =

5.89, SD = 1.20; NOT_Comp_Strat_MS: M = 4.16, SD = 1.67; F = 48.908, p ≤ .001).

A one-way ANOVA was used to determine whether the variable representing

pricing goal manipulation called Manip_Ck_Pricing differed across scenarios where the

pricing goal was profit and where the pricing goal was not profit, using the variable

named Price_Strat_Profit. The difference across conditions was significant (≤ .001).

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(Price_Strat_Profit: M = 6.06, SD = 1.20; NOT_Price_Strat_Profit: M = 4.60, SD = 1.72;

F = 61.82, p ≤ .001). The additional summary statement that was added to the end of each

scenario helped respondents clearly identify the goals for both the pricing and sales force

compensation strategies.

Realism Check

Similar to the pretest, the measure of the realism of the scenario that respondents

viewed had strong internal reliability; the Cronbach’s alpha was .80. A one-way

ANOVA was used to determine whether Realism differed across the two groups

represented by Alignment. There were no significant differences across conditions.

Once again, overall the participants found the scenario to be realistic (Aligned: M = 5.61,

SD = 1.29; Misaligned: M = 5.46, SD = 1.28; F = .51, p = .48).

Interpretation Check

The interpretation check was established to verify the attractiveness of the reward

in the scenario for achieving the sales force compensation goal. An ANOVA testing

whether participants who viewed the aligned conditions responded differently from the

participants exposed to the misaligned conditions was not statistically significant at a

level of ≤ .05. The one-way ANOVA used the variable for interpretation as the dependent

variable and Alignment as the independent variable. The interpretation check verifies that

across scenarios, the commission is not influencing one group more than any other

(Aligned: M = 5.15, SD = 1.56; Misaligned: M = 4.84, SD = 1.64; F = 1.61, p = .21).

Conflict Check

In the main study, participants were asked two conflict check items. The first

item (referred to as Conflict_Ck_a) was “To what degree do you feel the pricing goal in

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the scenario is in conflict with the sales force compensation goal?” (0 = “not at all” to

100 = “completely”). The second item (referred to as Conflict_Ck_b) asked “Is the goal

of the pricing strategy in conflict with the goal of the sales force compensation strategy”

(1 = “strongly disagree” to 7 = “strongly agree”). A one-way ANOVA was used to

determine whether Conflict_Ck_a differed across the two Alignment groups. As

expected, the difference was significant (≤ .05) such that that those respondents who

viewed a misaligned condition responded on average greater than those respondents who

viewed an aligned condition (Aligned: M = 49.75, SD = 30.33; Misaligned: M = 60.14,

SD = 25.63; F = 5.57, p ≤ .05).

For the second goal conflict item, Conflict_Ck_b, respondents who experienced a

misaligned scenario rated conflict significantly higher (≤ .001) than respondents who

experienced a scenario with aligned goals (Aligned: M = 3.77, SD = 1.77; Misaligned: M

= 4.67, SD = 1.53; F = 13.56, p ≤ .001). Thus, the addition of the summary statement to

the scenario was effective in creating distinct and clear descriptions for the respondent.

Behavioral Intention

In the hypotheses section, the results will be presented that show a salesperson’s

intention to achieve goals was significantly higher for respondents that viewed an aligned

scenario than those respondents that had viewed a misaligned scenario.

Expectancy

During the pretest, the reverse-coded item included in the scale performed poorly

when included with the other items. For the main study, the four-item expectancy scale

produced a coefficient alpha of .92. Also for the main study, salesperson expectancy for

viewers of the aligned scenarios was significantly higher than from the respondents who

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viewed the misaligned scenarios. The results for the hypothesis test involving expectancy

will be discussed further in the hypotheses section.

Instrumentality

After evaluating the pretest results, the decision was made to expand the number

of items (from 5 to 8 items) that represented salesperson instrumentality. The Cronbach’s

alpha coefficient of .82 for the instrumentality scale in the main study was well above the

recommended level of .70 (DeVellis, 1991; Eisinga, Grotenhuis, and Pelzer, 2012). The

multi-dimensionality of the eight-item Instrumentality scale is as follows: three items

representing monetary rewards (referenced as INST_Monet) and five items representing

performance recognition. The five items for performance recognition represented two

dimensions: internal performance recognition from within the organizational (two-item

measure referenced as Inst_Org_Rec) and external performance recognition from the

customer (three-item measure referenced as Inst_Org_Rec). All survey items used in the

main study appear in Appendix B.

Because of the changes made to the scale, tests performed to verify the

instrumentality scale used in the main study included: construct reliability, convergent

validity, discriminant validity, and nomological validity. Convergent validity of the

variables was performed using three tests: 1) the Eigenvalue check (rule > 1.00); 2) the

Average Variance Extracted (AVE) test (rule: > .50; and 3) construct reliability (rule: ≥

.70 is good, between .60-.69 is marginal) according to common guidelines (DeVellis,

1991; Nunnally and Bernstein, 1994). DeVillis (1991) and Nunnally et al. (1994) suggest

that lower values for exploratory constructs are acceptable. Convergent validity was

confirmed through results that show the variables within the instrumentality construct are

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converging on the same concepts. The results for the tests of convergent validity can be

viewed in Table 2.7.

Table 2.7. PCA Convergent validity report

Customer_Facing

_Instrumentality INST_Monet Inst_Org_Rec

Eigenvalue 3.75 1.90 0.99

Check Pass Pass Fail

AVE 77.80 63.20 49.50

Test 2: Good Good Acceptable

Construct

Reliability 0.91 0.87 0.87

Test 3: Good Good Good

Discriminant validity determines if monetary reward items, customer facing

performance recognition items, and organizational recognition items are measuring

different concepts. According to Hair et al. (2010), one way to test discriminant validity

is to determine whether the average variance within the items is greater than the variance

the items share with other constructs: “the within variance extracted estimates should be

greater than the squared between correlation estimates,” (p. 688). The findings indicate

that monetary rewards, customer facing performance recognition, and organizational

performance recognition are measuring unique concepts. The correlation matrix and

squared correlation matrix can be viewed in Table 2.8. The squared correlations are

much less than the lowest AVE of 49.50.

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Table 2.8. Discriminant validity test results

Nomological validity verifies that the items in the construct correlation matrix are

consistent with theory and logic. A check of the correlations among these variables was

performed and nomological validity was confirmed.

An internal reliability test was performed on the three items representing

monetary rewards. The coefficient alpha score was .74, and with the removal of

INST_Monet_c the alpha score improves to .76. This item was retained to maintain a

three-item scale. The internal reliability results for the internal performance recognition

from within the organization produced a coefficient alpha of .85. The variable

representing external performance recognition from the customer had a Cronbach’s alpha

of .90. The results for the hypothesis test involving instrumentality will be discussed

further in the hypotheses section.

Correlation

Matrix

Customer_Facing

_Instrumentality INST_Monet Inst_Org_Rec

Customer_Facing_

Instrumentality 1.00

INST_Monet 0.02 1.00

Inst_Org_Rec 0.52 0.26 1.00

Correlation

Matrix Squared

Customer_Facing

_Instrumentality INST_Monet Inst_Org_Rec

Customer_Facing_

Instrumentality 1.00

INST_Monet 0.00 1.00

Inst_Org_Rec 0.27 0.07 1.00

Discriminant

Validity Test

Customer_Facing

_Instrumentality INST_Monet Inst_Perf Org

Customer_Facing_

Instrumentality

INST_Monet Pass

Inst_Perf Org Pass Pass

112

Extrinsic Motivation

Expectancy theory maintains that extrinsic motivation exhibits a multiplicative

relation between expectancy and instrumentality. This research hopes to reconfirm that

relationship in the hypotheses section. The Cronbach’s alpha coefficient for the five-item

measure was .86. The internal reliability score increased to .89 with the removal of the

question “If I were in the situation described in the scenario, I would be strongly

motivated by the recognition I could earn from other people,” measured on a seven-point

scale (1)”strongly disagree” to (7) “strongly agree”.

A one-way ANOVA was performed with the four-item (averaged) extrinsic

motivation construct as the dependent variable and Alignment as the independent

variable. The results showed there was no significant (≤ .05) difference in the means of

the aligned and misaligned conditions (Aligned: M = 5.67, SD = 1.00) (Misaligned: M =

5.69, SD = 1.06) (F = .03, p = .88).

Control Variables

The six control variables used in the analysis included; sales experience, company

experience, gender, education, industry, and commission. Previous sales motivation

research suggested that gender, job experience, education, and industry may be related to

expectancy (Cron et al., 1988; Teas, 1981; Walker et al., 1977). The variables sales

experience, and commission (incentive compensation) have been suggested to be related

to instrumentality in previous research (Zoltners, Sinha, & Lorimer, 2012; Murphy &

Dacin, 1998). In Essay 1, the respondents would often talk about the pricing strategy in

relation to a specific product or service. Therefore, it was important to include the

variable, industry as it related to a salesperson selling a product or service. Additionally,

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the respondents worked for a large number of industries, so a consolidation mechanism

was necessary. The 135 sales professionals were grouped based on industry and pay

portfolio (percent of current annual compensation that is commission).

The salesperson’s industry for 135 respondents yielded 97 different industries.

The 97 unique industries were evaluated based on what was being sold and the new

variable was coded Two_Category_Industry. In Essay 1, those in the insurance industry

sold a service and those in the automotive aftermarket sold products. In Essay 2, the

industries were similarly divided into those selling primarily products and those selling

primarily services. For example, the respondents that indicated restaurant equipment,

manufacturing, and wine and spirits were coded as products. In contrast, respondents

indicating insurance, banking, and rail freight transportation were coded as Services.

Previous salesperson motivation literature references the demographic variable that

delineates what the salesperson sells as products and services (Smith, Jones, & Blair,

2000). Two individuals working independently sorted the industries into the two groups

and then compared the results, resolving any differences via discussion.

The proportion of gender, industry (product, service), and percent of salary that is

commission per aligned and misaligned scenarios is displayed in Table 2.9.

Table 2.9. Proportion of control variables per condition

Condition (Goals)

Aligned MISaligned Total

Gender

Male 39 38 58

Female 26 32 77

Total 65 70 135

Table 2.9 continued

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Industry Code

Services 39 40 79

Products 24 30 54

Total 63 70 133*

Two_Category_Commission

Smaller- < 25% 29 35 64

Larger- >25% 35 34 69

Total 64 69 133*

* Missing data

The variable that represented the percent of annual compensation that is

commission yielded 32 responses not including two missing data entries. Based on the

cumulative percent of the frequency distribution, nearly half of the respondents (48.1%)

reported a smaller percent of annual pay that was commission, which equated to 24% or

less, and the remaining respondents (51.9%) reported a larger percent of annual pay that

was commission, which equated to 25% -100%. The new item was coded

Two_Cat_Commission.

A further evaluation of the sample included computing ANOVAs to determine if

the variance in sales experience, company experience, education, and commission were

significantly different across aligned or misaligned scenarios. Company experience was

shown to be significantly different (≤ .05) for respondents across aligned and misaligned

scenarios. The results can be viewed in Table 2.10.

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Table 2.10. Main study demographics

Pricing and Sales Force

Compensation Strategies

Aligned Misaligned df F sig.

Sales Experience

16.06

(11.66)

15.13

(10.25) 1 0.24 0.62

Company

Experience

9.51

(8.41)

6.74

(5.31) 1 5.30 0.02*

Education Level

4.28

(1.16)

4.14

(1.20) 1 0.42 0.52

Commission

42.59

(38.01)

36.16

(36.17) 1 0.99 0.32

* p ≤ .05

Values in parentheses are standard deviation.

Hypotheses Tests

A GLM analysis of variance was used to examine how the organization’s pricing

strategy affects the salesperson and test the hypotheses. The GLM method allowed

multiple independent categorical variables, as well as continuous dependent variables, to

be easily tested within the same model.

Hypothesis 1 Expectancy

H1a: When the goals of the pricing and sales force compensation strategy are

misaligned, the salesperson’s expectancy will be lower than when the goals are

aligned.

Hypothesis 1a examined the main effect of the two-level factor Alignment on the

dependent variable Expectancy. The variables gender and industry were used as

116

covariates. There was a significant main effect of this factor indicating that a lower level

of expectancy is associated with conditions of misalignment of the goals of the sales

force compensation and pricing strategies (Aligned: M = 5.27, SD = .94; Misaligned: M =

4.71, SD = 1.28; F = 7.33, p ≤ .01). Hypothesis 1a is supported.

H1b: When the goal of the sales force compensation strategy is profit

maximization and the goal of the pricing strategy is market share growth, the

salesperson’s expectancy will be lowest.

Hypothesis 1b predicted the lowest level of expectancy would be associated with

a specific configuration of pricing and sales force compensation goals—PM-Misalign.

Gender and industry were controlled for in this test. First, an overall main effect of the

type of scenario on expectancy was found to be significant (F = 3.90, p ≤ .01), so further

differences were tested across the pairs of scenarios. The results indicated that

respondents in the PM-Misalign condition exhibited the lowest expectancy (M = 4.38),

and the result was significantly different from MM-Align (M = 5.48, t = 3.27, p ≤ .001),

marginally significantly different from PP-Align (M = 4.97, t = 1.75, p = .08), but not

significantly different from MP-Misalign (M = 4.76, t = 1.23, ns). Hypothesis 1b is

partially supported.

Hypothesis 2 Instrumentality

Hypothesis 2a predicted the main effect of two-level factor Alignment on

dependent variable Instrumentality. This study included three measures of

instrumentality ( INST_Monet, Inst_Perf_Org, and Customer-Facing_Instrumentality).

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There was no support for INST_Monet, or for Inst_Perf_Org differing across the aligned

and misaligned conditions. A follow up assessment focused only on the customer-facing

part of instrumentality, represented by two items: “if I achieve my sales goal I will be

viewed more favorably by my customers” and “if I achieve my sales goal I will have

fewer complaints from my customers.” An ANCOVA was performed with the variable

representing the two customer facing items as the dependent variable, and Alignment as

the independent variable, and the control variables were Two_Cat_Industry and

Two_Cat_Commission. The results were not significant. (Alignment: M = 4.12, SD =

1.63; Misaligned: M = 4.10, SD = 1.34; F = .20, p = .65). Hypothesis 2a was not

supported.

H2b. When the goal of the compensation strategy is market share growth and the

goal of the pricing strategy is profit maximization, the salesperson’s

instrumentality will be the weakest.

Hypothesis 2b predicted the weakest instrumentality would exist in a specific

configuration of pricing and sales force compensation goals—MP-Misalign

(compensation- market share, pricing- profit). First, an overall main effect of the type of

scenario on instrumentality was found to be significant (F = 3.47, p ≤ .05), so further

differences were tested across the pairs of scenarios. However, the results were not as

predicted. MP-Misalign (M = 4.15) was not significantly weaker than any of the pairs,

and in fact was marginally significantly stronger than the PP-Align in instrumentality (M

= 3.37, t = 1.92, p= .058). Additionally, PP-Align was significantly weaker than MM-

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Align (M = 4.67, t = 3.20, p ≤ .01) and PM-Misalign (M = 4.21, t = 2.08, p ≤ .05).

Hypothesis 2b is not supported.

These are interesting results when evaluated with the findings comparing the

aligned conditions to the misaligned conditions (in H2a). The results suggest that the

pricing strategy was an interference factor in salesperson instrumentality. Apparently,

the salesperson operating in the aligned condition of MM-Align believes that he/she will

be perceived in a positive light by the customer since the prices are low. In contrast, in

the PP-Align (both profit) condition, the salesperson does not believe that he/she will be

perceived as well by the customers because the prices are high. The salesperson is aware

that the customer is not concerned with his/her commissions.

In the misaligned group, the internal pressures from the selling organization seem

to have created an interfering effect for the salesperson but not for his/her customer. In

the condition of PM-Mis (compensation-profit, pricing- market share), the salesperson

perceives that the recognition from the customers will be favorable as a result of the low

prices. The recognition from the customer will be less as a result of high prices in the

MP-Mis (market share-compensation strategy and profit – pricing goal) condition.

Conceptual nuances with regard to instrumentality are widespread in the literature and

like many prior studies (Cron et al. 1988 ;Murphy & Dacin, 1998;Gibson, 2008;Miao,

Lund, & Evans, 2009;Tyagi, 2010) this study also indicates that instrumentality remains

an area for further future research.

Hypothesis 3 Extrinsic motivation

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H3: The interaction of the salesperson’s expectancy and instrumentality will be

positively related to the salesperson’s extrinsic motivation.

Hypothesis 3 suggests that extrinsic motivation is the product of an interaction

between expectancy and instrumentality. The results replicate the relationships found

among these variables in previous work (Extrinsic Motivation: M = 5.51, SD = 1.03; F =

30.813, p = ≤ .001). Hypothesis 3 is supported. See Table 2.11 for Hypothesis 3

results.

Table 2.11. Hypothesis 3 results- Extrinsic motivation

Hypothesis 4 Behavioral Intention

H4: When the goals of the pricing and sales force compensation strategy are

misaligned, the salesperson’s behavioral intention will be lower than when the

goals are aligned.

Sum of Squares df t F p value

Expectancy 12.22 1 4.39 19.27 ≤ .001

Instrumentality 7.01 1 3.32 11.05 ≤.001

Expectancy *

Customer_Facing_

Instrumentality 3.11 1 -2.22 4.91 0.03

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Hypothesis 4 indicates that the two-level factor alignment will influence the

dependent variable behavioral intention. There was a significant main effect indicating

that salespeople with aligned goals of the pricing and sales force compensation strategy

have significantly higher intentions to strive to achieve the goals than do those

salespeople who have misaligned goals. This analysis included the control variables

Two_Cat_Industry and gender, neither of which was significantly related to behavioral

intention (Aligned: M = 80.46, SD = 15.34; Misaligned: M = 71.54, SD = 20.12; F =

7.22, p ≤ .05). Hypothesis 4 is supported.

In addition, the means for behavioral intention were significantly lower for the

misaligned scenarios than for the aligned scenarios. A one-way ANOVA was used to

determine whether differences in behavioral intention differed across the scenarios (F =

3.98, p ≤ .05). Results indicated behavioral intentions were significantly different. See

results for hypothesis 4 in Table’s 2.12 and 2.13.

Table 2.12. Hypothesis 4 results- Behavioral intention

Sum of Squares df F

p

value

Alignment 2379.12 1 7.22 ≤ .05

Industry_Code 2.12 1 0.006 0.94

Gender 32.76 1 0.1 0.75

Table 2.13. Hypothesis 4 - Behavioral intention across scenarios

Scenarios Mean SD

PM 73.82 15.52

MP 70.72 23.25

PP 74.12 16.38

MM 84.26 12.36

(F= 3.98, p ≤ .05)

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Summary of Main Study Hypotheses Tests

A summary of the Main Study Hypotheses and test results is shown in Table 2.14.

Table 2.14. Summary of Main Study hypotheses and tests

DISCUSSION

Tests Results

Expectancy

H1aMisaligned goals negatively

impact salesperson

expectancies.

Main effect of

expectancy on

aligned and

misaligned goals

Supported

H1bPM scenario will have the

lowest salesperson

expectancies.

Main effect of

expectancy on the

scenarios

Partially supported. The respondents in

the PM-misaligned condition did have

the lowest expectancy (Mean= 4.38).

Significantly different from the aligned

conditions but not significantly different

from MP- misaligned.

Instrumentality

H2aMisaligned goals negatively

impact salesperson

instrumentality

Main effect of

instrumentality on

aligned and

misaligned goals

Not supported. The complex construct

has too many "reward elements"

(please the company, please the

customer, please thyself) to achieve

significance acrossed aligned or

misaligned goals.

MP-Weakest Instrumentality

H2b

MP scenario will have the

weakest salesperson

instrumentality

Main effect of

instrumentality on the

scenarios

Not supported. The complexity of

misaligned conditions is amplified by

the price issue in MP.

Extrinsic Motivation

H3

There will be an interaction

between expectancy and

instrumentality that will be

positively related to

extrinsic motivation

Two-way interaction

of expectancy and

instrumentality on

extrinsic motivation

Supported

Behavioral Intention

H4Misaligned goals negatively

impact salesperson

behavioral intention

Main effect of

misaligned goals on

salesperson

behavioral intention

Supported

Main study Hypotheses

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This research provides three key findings for researchers and managers. First, the

results provide empirical evidence that pricing does in fact affect a salesperson’s

evaluation of required efforts. The salesperson evaluates the probability that a high level

of effort, time, and activity will lead to an improvement in their level of performance. If

the salesperson realizes that the firm’s pricing constrains his/her performance, the result

is a lower expectation that his/her efforts will yield an incremental increase in

performance. This finding is consistent with goal setting theory (Locke & Latham,

2002), which maintains that for difficult goals, expectancy of goal achievement is

“negatively related to performance” (p. 704).

Second, the findings of this research indicate that in conditions of misaligned

goals there is the likelihood that the salesperson will not try to achieve the goals. This

conflicts with sales force management literature which suggests that the more behavioral-

based the control system (salary and high managerial involvement) the more the

salesperson will pursue the goals of the company (Oliver & Anderson, 1994). Sales force

compensation strategies are not the only strategy that governs the efforts, intentions, and

behaviors of the sales force. The findings of this research indicate that pricing strategy

also influences behavior.

The third, finding is that occurrences of misaligned conditions are real and exist in

business today. Planning goal alignment is time consuming and difficult. Companies

may often find it much easier to price in response to customer demands and competitor

prices. Aligning goals is costly. Alignment would likely involve paying the salespeople

more on certain products than on others. Instead of constraining sales, alignment would

give the salesperson the option to accommodate the price sensitive customer as well as

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the quality oriented customer. Alignment may involve changing a compensation program

as frequently as the pricing programs change. What is missing in marketing literature is

research that investigates the effects of a firms pricing strategy on salespeople. This study

is an initial effort to fill that gap.

The implications of this research for sales managers are a platform for more sales

support and for open dialogue about the effects of price on the behaviors of a salesperson.

Sales managers are measured on the performance of their sales force and therefore have a

vested interest in obtaining sales tools or creating a selling environment to promote sales.

Collaboration between the sales and marketing departments on pricing programs provides

an opportunity for the sales force to have ownership in the program prior to release. The

collaborative process will likely be perceived by the salespeople as supportive and the

outcome program will be viewed as a sales assistance program. When the sales force is

involved in the creation of a strategy in which they must implement, the perception of the

amount of expected effort required for an increased performance level will likely be

lower. When the sales manager comprehends the effects of misaligned goals then he/she

can be proactive in selecting performance measures for the sales force that directs efforts

towards the preferred goal and providing marketing with more realistic success

thresholds. Sales managers that have an understanding of the effects of misaligned goals

should re-evaluate failed programs to determine if goal misalignment was the cause.

Armed with the information of this study, sales managers can facilitate an open

dialogue with top managers about the relationship between pricing strategies and

salesperson behavior. Top managers expect salespeople to sell based on price. This

ubiquitous point of view prevents earnest conversations about pricing with the sales

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force. Salespeople are often reluctant to mention price to top managers as to avoid the

reputation of being a salesperson that only sells based on (low) price. When the

salesperson is compensated on growing market share he/she will chose the products that

enable access to new customers or markets and those should be the low or competitively

priced items. When the salesperson is compensated on profit maximization he/she will

chose the products that offer the highest margins and can still be sold. Correcting

misaligned goals is actionable by managers, if they know what to look for.

CONCLUSION

In conclusion, the central thesis of this essay was supported—a firm’s pricing

strategy does affect the sales force. Further, the analysis confirmed support for the effects

of expectancy; specifically, in a condition when goals are misaligned a salesperson will

perceive lower expectancies than when goals are aligned.

The instrumentality hypotheses were not supported. When comparing conditions

where the pricing goal was market share growth the salespeople responded as

hypothesized: expectancy for the aligned goals MM-Align was higher than the condition

of misaligned goals PM-Mis. Unfortunately, that outcome did not hold true for the

conditions where the pricing goal was profit maximization. When the goal of the pricing

strategy was to maximize profits the salespeople perceived high instrumentality (link

between performance and reward) given a market share compensation goal. Perhaps the

salesperson was familiar with this scenario (MP). Salespeople have openly admitted to

marshaling company resources to offer the customer in an effort to offset higher prices. .

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The work of expectancy theorists has once again been confirmed, in that

expectancy and instrumentality are positively related to extrinsic motivation. Knowing

how to predict extrinsic motivation is a valuable tool for supporting a sales force. Given

the direction of the outcomes for expectancy and goal conflict, the inference can be made

that aligned goals positively influence levels of extrinsic motivation. Most importantly

this research has produced results that show misaligned goals will lessen the intentions of

the sales force to commit to achieving the sales goal. This research has found support for

an important but often overlooked influencer of salesperson behavior, the firm’s pricing

strategy.

LIMITATIONS AND FUTURE RESEARCH

This study is subject to several limitations; those limitations related to the design

of this study provide future research opportunities. Although a benefit of this experiment

was the ability to isolate the goals of the pricing and sales force compensation strategies

and to test for predicted effects of the salesperson’s expectancy, instrumentality, and

behavioral intention; a weakness, of this and other experimental research is the inability

to replicate all of the elements that respondents experience in the selling environment.

Future research should use different research methods in order to represent other

variables potentially impacting the influence of pricing on the salesperson in selling

environments. Next, while the goal of this study was to capture the salesperson’s view

of the firm’s pricing strategy; single-source bias is a potential limitation. Future research

should combine self-reported data and objective data. Compared to a single-industry or a

single-organization design, this study more aptly casts a wide net to assess the effects of

aligned and misaligned goals on B2B salespeople. However, this study is limited to

126

respondents that sell in B2B markets with in the United States and therefore readers must

be cautioned as to the representativeness and the generalizability of the results across all

B2B markets. A deeper examination of global markets is required for future research.

A potential limitation of the respondents used in this study is the limited amount

of years as a sales professional with the current company. Most of the respondents, 67%,

have been selling for the current company for 1-9 years; however, the average total years

of selling experience is 15.6 years. Analysis using company sales experience as a control

variable was not significant. Future research may include personal variables in addition

to traits of the salesperson such as organizational commitment, locus of control, and

tolerance for ambiguity as these may impact behavioral intention (Teas, 1981; Singh,

1998). The main effect of goal alignment is not a statistically significant predictor of a

salesperson’s instrumentality. One potential cause may be the respondents’ limited years

of sales experience with the current company. Salespeople that have longer tenure with

the same company may have more confidence that an increase in their level of

performance will yield a particular reward. The results of this study should be checked

with a sample of salespeople that have substantially more years of experience with their

current company.

Moreover, the dimensions of instrumentality are complex. The instrumentality

construct includes the determination of a level of performance and a vast amount of

rewards which are intrinsic and extrinsic motivators of behavior towards the determined

level of performance. Rewards associated with intrinsic motivation include self-

fulfillment and status (Teas, 1981). In keeping with the scope of this study, the measures

of instrumentality adapted from Teas (1981), included achieving the sales goal and

127

rewards associated with extrinsic motivation. Respondent fatigue was a concern of this

study; however subsequent research should include a more exhaustive list of

instrumentality measures.

This study measures salespersons’ behavioral intention; although intention may

predict behavior (Ajzen, 1991); a degree of uncertainty regarding actual behavior still

remains when the salesperson is placed in the actual sales situation. Future research

should measure the effects of aligned and misaligned goals of the pricing and sales force

compensation strategies on specific sales force behaviors such as opening new accounts,

making proposals and presentations, and selling new product offerings.

Future research that emerges from this study should investigate the relationship

between salesperson perceived effort given aligned and misaligned goals. It is

anticipated that salespeople will perceive misaligned goals as more difficult therefore

require more effort to achieve. Findings of previous research have shown that difficult

goals positively influence selling effort (Fang et al., 2004). Finally, this study provides

the foundation for future research into the importance of the motivational effects of a

firm’s pricing strategy on sales performance.

128

References

Ajzen, I. (1991). Theory of Planned Behavior. Organizational Behavior and Human

Decision Processes, 50, 179-211.

Anderson, E., Fornell, C., & Lehmann, D. (1994). Customer Satisfaction, Market Share,

and Profitability: Findings from Sweden. Journal of Marketing, 58(3), 53-66.

Anderson, E. & Oliver, R. L. (1987). Perspectives on Behavior-Based Versus Outcome

Based Salesforce Control Systems. Journal of Marketing, 51(4), 76-88.

Amabile, T.M. (1993). Motivational synergy: Toward new conceptualizations of intrinsic

and extrinsic motivation in the workplace. Human Resource Management Review,

3(3), 185-201.

Amabile, T.M., Hill, K..G., Hennessey, B.A., & Tighe, E. M. (1994). The work

preference inventory: Assessing intrinsic and extrinsic motivational orientations.

Journal of Personality & Social Psychology, 66(5), 950-967.

Armitage, C. J. & Conner, M. (2001). Efficacy of the Theory of Planned Behaviour: A

Meta-analytic Review, British Journal of Social Psychology, 40(4), 471-499.

Bandura, A. (2001). Social Cognitive Theory: An Agentic Perspective. Annual Review of

Psychology, 52(1), 1-26.

Bandura, A. & Jourden, F. J. (1991). Self-Regulatory Mechanisms Governing the Impact

of Social Comparison on Complex Decision Making. Journal of Personality &

Social Psychology, 60(6), 945-951.

Behrman, D., & Perreault Jr., W. D. (1982). Measuring the Performance of Industrial

Salespersons. Journal of Business Research, 10, 355-370.

Broedlirig, L. A. (1975). Relationship of Internal- External Control to Work Motivation

and Performance in an Expectancy Model. Journal of Applied Psychology, 60(1),

65-70.

Burstin, K., Doughtie, E.B., & Raphaeli, V. (1980). Contrastive vignette technique: An

indirect methodology designed to address reactive social attitude measurement.

Journal of Applied Social Psychology, 10(2). 147-165.

Cheng, M. M., Luckett, P.F. & Mahama, H. (2007). Effect of Perceived Conflict amount

Multiple Performance Goals and Goal Difficulty on Task Performance.

Accounting & Finance, 47(2), 221-242.

Chiang, C., Jang, S.S., Canter, D., & Prince, B. (2008). An Expectancy Theory Model for

Hotel Employee Motivation: Examining the Moderating Role of Communication

129

Satisfaction. International Journal of Hospitality & Tourism Administration, 9(4),

327-351.

Chowdhury, J. (1993). The Motivational Impact of Sales Quotas on Effort. Journal of

Marketing Research, 30(1), 28-41.

Committee on Communication for Behavior Change in the 21st Century. (2002).

Speaking of Health: Assessing Health Communication Strategies for Diverse

Populations, Washington DC. National Academies Press.

Cravens, D. W., Ingram, T. N., LaForge, R.W., & Young, C. E. (1993). Behavior-Based

and Outcome-Based Salesforce Control Systems. Journal of Marketing, 57(4), 47-

59.

Cron, W. L., Dubinsky, A. J., & Michaels, R. E. (1988). The Influence of Career Stages

on Components of Salesperson Motivation. Journal of Marketing, 52(1), 78-92.

Dahl, L., Brimacombe, C., & Lindsay, D. (2009). Investigating Investigators: How

Presentation Order Influences Participant-Investigators’ Interpretations of

Eyewitness Identification and Alibi Evidence. Law & Human Behavior, 33(5),

368-380.

Darley, W. K. & Lim, J. (1993). Assessing Demand Artifacts in Consumer Research: An

Alternative Perspective. Journal of Consumer Research, 20(3), 489-495.

DelVecchio, S. & Wagner, J. (2011). Motivation and Monetary Incentives: A Closer

Look. Journal of Management & Marketing Research, 7, 1-13.

DeVellis, R. F. (1991). Scale Development: Theory and Applications. Newbury Park,

CA: Sage Publications.

Diamantopoulos, A., Reynolds, N., & Schlegelmilch, B. (1994). Pretesting in

Questionnaire Design: the Impact of Respondent Characteristics on error

detection. Journal of Market Research Society. 36(4), 295-313.

Dutta, S., Biswas, A., & Grewal, D. (2007). Low Price Signal Default: An Empirical

Investigation of its Consequences. Journal of Academy of Marketing Science,

35(1), 76-88.

Eisenhardt, K. M. (1989). Agency Theory: An Assessment and Review. Academy of

Management Review, 14(1), 57-74.

Eisinga, R., Grotenhuis, M. T., & Pelzer, B. (2012). The Reliability of a Two-item Scale:

Pearson, Cronbach, or Spearman-Brown? International Journal of Public Health,

(Oct).

130

Evans, K. R., Margheim, L., & Schlacter, J. L. (1982). A Review of Expectancy Theory

Research in Selling. Journal of Personal Selling & Sales Management, 2(2), 33-

40.

Fang, E., Palmatier, R. W., & Evans, K. R. (2004). Goal-Setting Paradoxes? Trade-Offs

Between Working Hard and Working Smart: The United States versus China.

Journal of the Academy of Marketing Science, 32(2), 188-202.

Gibson, L. (2008). In Defense of Instrumentality. Cultural Trends, 17(4), 247-257.

Hair Jr., J.F., Black, W. C., Babin, B. J., & Anderson, R.E. (2010). Multivariate Data

Analysis. Upper Saddle River, NJ, Prentice Hall.

Hirschfeld, R.R., Schmitt, L. P., & Bedeian, A. G. (2002). Job-content Perceptions,

Performance-reward Expectancies, and Absenteeism among Low-wage Public-

Sector Clerical Employees. Journal of Business and Psychology, 16(4).

Holden R. K. & Nagle, T.T. (1998). Kamikaze Pricing. Marketing Management, 7(2),

30-39.

Homburg, C., Jensen, O., & Krohmer, H. (2008). Configurations of Marketing and Sales:

A Taxonomy. Journal of Marketing, 72(2), 133-154.

Homburg, C., Jensen, O., & Hahn, A. (2012). How to Organize Pricing? Vertical

Delegation and Horizontal Dispersion of Pricing Authority. Journal of Marketing,

76(5), 49-69.

Jaramillo, F., & Mulki, J. M. (2008). Sales Effort: The Intertwined Roles of the Leader,

Customers, and the Salesperson. Journal of Personal Selling & Sales

Management, 28(1), 37-51.

Kerlinger, F. N. (1972). The Structure and Content of Social Attitude Referents: A

Preliminary Study, Educational and Psychological Measurement, 32(3), 613-630.

Küster, I., & Canales, P. (2011). Compensation and Control Sales Policies, and Sales

Performance: the Field Sales Manager’s Points of View. Journal of Business &

Industrial Marketing, 26(4), 273-285.

Lancioni, R., & Gattorna, J. (1993). Pricing for profit. Management Research News,

16(7), 1-4.

Lee, C., Bobko, P., Earley, C. P., & Locke, E. A. (1991). An Empirical Analysis of Goal

Setting Questionair. Journal of Organizational Behavior, 12(6), 467-482.

Liccione, W. J. (2007). A Framework for Compensation Plans with Incentive Value.

Performance Improvement, 46(2), 16-21.

131

Locke, E. A., & Latham, G. P. (2002). Building a Practically Useful Theory of Goal

Setting and Task Motivation: A 35 Year Odyssey. American Psychologist, 57(9),

705-717.

Locke, E.A., Motowidlo, S. J., & Bobko, P. (1986). Using Self-Efficacy Theory to

Resolve the Conflict Between Goal-Setting Theory and Expectancy Theory in

Organizational Behavior and Industrial/Organizational Psychology. Journal of

Social and Clinical Psychology, 4(3). 328-338.

Locke, E. A., Smith, K. G., Erez, M., Dong-Ok, C., & Schaffer, A. (1994). The Effects of

Intra-Individual Goal Conflict on Performance. Journal of Management, 20(1),

67-91.

Mahajan, J., Churchill Jr, G.A., Ford, N.M., & Walker Jr, O. C. (1984). A Comparison of

the Impact of Organizational Climate on the Job Satisfaction of Manufacturers’

Agents and Company Salespeople: An Exploratory Study. Journal of Personal

Selling & Sales Management, 4(1), 1-10.

Mallin, M. L. & Pullins, E. B. (2008). The Moderating Effect of Control Systems on the

Relationship Between Commission and Salesperson Intrinsic Motivation in a

Customer Oriented Environment. Industrial Marketing Management, 38(2009),

769-777.

Miao, F. C., Lund, D. J., & Evans, K. R. (2009). Reexamining the Influence of Career

Stages on Salesperson Motivation: A Cognitive and Affective Perspective.

Journal of Personal Selling & Sales Management, 29(3), 243-255.

Murphy, W.H., & Dacin, P. A. (1998). Sales Contests: A Research Agenda. Journal of

Personal Selling & Sales Management, 18(1), 1-16.

Nagle, T. & Cressman Jr, G. E. (2002). Don’t Just Set Prices, Manage Them. Marketing

Management, 11(6), 29-33.

Nunnally, J. C. (1978). Psychometric Theory. New York: McGraw-Hill.

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory (3rd

ed.). New York:

McGraw-Hill Book Company.

Oliver, R. L. (1974). Expectancy Theory Predictions of Salesmen's Performance. Journal

of Marketing Research, 11(3), 243-253.

132

Oliver, R. L., & Anderson, E. (1994). An Empirical Test of the Consequences of

Behavior- and Outcome-Based Sales Control Systems, Journal of Marketing,

58(4), 53-67.

Palazon, M., & Delgado-Ballester, E. (2009). Effectiveness of Price Discounts and

Premium Promotions. Psychology & Marketing, 26(12), 1108-1129.

Perdue, B. C. & Summers, J. O. (1995). Checking the Success of Manipulations in

Marketing Experiments. Journal of Marketing Research, 23(4), 317-326.

Peters, L. H. (1977). Cognitive Models of Motivation, Expectancy Theory and Effort: An

Analysis and Empirical Test. Organizational Behavior & Human Performance,

20(1), 129-148.

Pinsker, R. (2011). Primacy or Recency? A Study of Order Effects When

Nonprofessional Investors are Provided a Long Series of Disclosures. Behavioral

Research in Accounting, 23(1), 161-183.

Pritchard, R.D. & DeLeo, P.J. (1973). Experimental Test of the Valence-Instrumentality

Relationship in Job Performance. Journal of Applied Psychology, 57(3), 264-270.

Pritchard, R. D., & Sanders, M. S. (1973). The Influence of Valence, Instrumentality, and

Expectancy on Effort and Performance. Journal of Applied Psychology, 57(1), 55-

60.

Ramaswamy, V., Gatignon, H., & Reibstein, D. (1994). Competitive Marketing Behavior

in Industrial Markets. Journal of Marketing, 58(2), 45-55.

Schmidt, A. M., & Dolls, C. M. (2009). Something’s Got to Give: The Effects of Dual-

Goal Difficulty, Goal Progress, and Expectancies on Resource Allocations.

Journal of Applied Psychology, 94(3), 678-691.

Schwalbach, J. (1991). Profitability and Market Share: A Reflection on the Functional

Relationship. Strategic Management Journal, 12(4), 299-306.

Sethuraman, R. & Tellis, G. J. (1991). An Analysis of the Tradeoff Between Advertising

and Price Discounting. Journal of Marketing Research, 28(2), 160-174.

Sheth, J. N. & Sisodia, R. S. (2002). The Rule of Three: Surviving and Thriving in

Competitive Markets. New York, The Free Press.

Sims Jr., H. P., Szilagyi, A.D., & McKemey, D. R. (1976). Antecedents of Work Related

Experiences. Academy of Management Journal, 19(4), 547-559.

133

Singh, J. (1998). Striking a Balance in Boundary-Spanning Positions: An Investigation of

Some Unconventional Influences of Role Stressors and Job Characteristics on Job

Outcomes of Salespeople. Journal of Marketing, 62(3), 69-86.

Smith, B.D. (2009). Maybe I will, Maybe I Won’t: What the Connected Perspectives of

Motivation Theory and Organizational Commitment May Contribute to our

Understanding of Strategy Implementation. Journal of Strategic Marketing, 17(6),

473-485.

Smith, K., Jones, E., & Blair, E. (2000). Managing Salesperson Motivation in a Territory

Realignment. The Journal of Personal Selling & Sales Management, 20(4), 214-

226.

Teas, R. K. (1981). An Empirical Test of Models of Salespersons' Job Expectancy and

Instrumentality Perceptions. Journal of Marketing Research, 18(2), 209-226.

Teas, R. K., & McElroy, J. C. (1986). Casual Attributions and Expectancy Estimates: A

Framework for Understanding the Dynamics of Salesforce Motivation. Journal of

Marketing, 50(1), 75-86.

Tellis, G. J. (1986). Beyond the Many Faces of Price: An Integration of Pricing

Strategies. Journal of Marketing, 50(4), 146-160.

Trotman, K. T., & Wright, A. (2000). Order Effects and Recency: Where Do We Go

From Here? Accounting and Finance, 40, 169-182.

Tyagi, P. K. (1982). Perceived Organizational Climate and the Process of Salesperson

Motivation. Journal of Marketing Research, 19(2), 240-254.

Tyagi, P. K. (2010). Expectancy Theory and Social Loafing in Marketing Research

Group Projects. The Business Review, 14(2), 22-27.

Wagner, T., Hennig-Thurau T., & Rudolph, T. (2009). Does Customer Demotion

Jeopardize Loyalty? Journal of Marketing, 73(3), 69-85.

Walker Jr, O. C., Churchill Jr, G.A., & Ford, N. M. (1977). Motivation and Performance

in Industrial Selling - Present Knowledge and Needed Research. Journal of

Marketing Research, 14(2), 156-168.

Wang, G. & Netemeyer, R. G. (2002). The Effects of Job Autonomy, Customer

Demandingness, and Trait Competitiveness on Salesperson Learning, Self-

Efficacy, and Performance. Journal of Academy of Marketing Science, 30(3),

217-228.

Wason, K.D., Polonsky, M.J., & Hyman, M.R. (2002). Designing vignette studies in

marketing, Australasian Marketing Journal, 10(3), 41-58.

134

Vroom, V. (1964). Work and Motivation. New York. Wiley.

Weinberg, C. B. (1975). An Optimal Commission Plan for Salesmen's Control Over

Price. Management Science, 21(8), 937-943.

135

APPENDIX A

Essay 1: Exploratory Interviews—Protocol

136

Pricing and Sales force Compensation Goal Alignment

November 17, 2011 (Revised 9/1/2012)

<Introduce one another and obtain permission to record conversation. If interviewee is

manager, use verbiage in brackets, below.>

1. Please tell us the name of your company.

2. What industry are you in?

3. What are the products/services that you sell?

<Probe for individually and overall in the company>

We are interested in how some organizational factors that are out of your control may

affect what you do/how you perform your job [what your sales force does/how your sales

force performs their jobs].

4. Would you please give us some basic information about your [your sales force’s]

compensation structure? <Probe for strict salary or combination salary and commission.

If commission, volume or dollar?>

4a. Is your compensation based on profit margin goals or market share growth goals?

< Get specific goals for sales performance.>

5. In your organization, who is responsible for setting prices for products and services?

5a. Are you as a salesperson <manager> ever involved in establishing a product price

list? Are you responsible for the distribution/implementation of the price list?

137

6. Does your organization change prices on products or product lines from time to time?

How frequently? Why do they do it? <If necessary, probe for type of adjustment, perm or

temp, etc.>

6a. Are the goals of the pricing strategies apparent or communicated to the sales force?

< Are you as the Sales Manager part of the joint pricing planning meetings or strategy

creation program?>

7. In general, can you tell us about how the way your organization sets prices or changes

or communicates prices affects what you do/how you perform your job? [what your sales

force does/how they perform their jobs/ how it affects how you evaluate sales force

performance?] <Probe for a specific example.>

7a. Can you think of a time when your sales performance was effected (goals not

achieved or goals achieved) as a result of a pricing strategy change? <Probe for a

specific example.>

8. In general, how does your organization’s pricing approach affect your [your sales

force’s] ability to sell effectively? Does it cost you sales/customer satisfaction? <Probe

for either positively or negatively. Probe for example of salesperson risk or perceived

effort.>

8a. Think about one product you sell, what do you think the objective is for how that

product is priced when compared to the market? Do you feel the pricing makes it easier

or harder for you to sell?<Probe for either market share or profit. Probe for example.>

9. Looking back, in your experience, have you ever faced a situation in which the way the

company priced and promoted its products did not match with your [your sales force’s]

incentive/compensation structure? Could you walk us through that situation? Does it

change your attitude about the way or how hard you have to work to sell?

138

10. How well was this problem understood or acknowledged by management [across the

firm]? <Probe for what was considered as the source(s) of the problem. Probe further as

to whether mis-match between pricing and compensation was considered a source.>

11. When you look at product pricing, how does price affect the amount of effort you

have [your sales force has] to expend to sell a product successfully? <Probe for

circumstances under which this happen; if manager, how it affects him/her.>

12. How does the pricing approach of your organization affect your [your sales force’s]

motivation to sell/perform? <Probe for specific example.>

OR

13. Can you tell me about time when you felt any more or less motivated to sell/perform

by price structure, price changes, or other things out of your control? <If no, probe for

anyone else in the firm.>

13a. When you look at product pricing, how does price affect the amount of customer

satisfaction you have established [your sales force has] to sell a product successfully?

<Probe for circumstances under which this happen; if manager, how it affects

him/her.>

13b. When you look at product pricing, does it require you to find and offer additional

service items to your customers to offset prices enabling you [your sales force] to sell a

product successfully? <Probe for circumstances under which this happen; if manager,

how it affects him/her or the costs to the firm.>

13c. In your opinion, is your product pricing communicated effectively (of high

quality- timely, easy to understand) to your customers (and maybe your competitors)?

Is your product pricing communicated effectively (of high quality- timely, easy to

understand) to you and the rest of the sales force? <Probe for circumstances under

which both effect and non-effective communication happens; if manager, how it

affects him/her.>

139

14. Who sets your [your sales force’s] compensation plan? Does it change? How often?

15. How satisfied are you with the way your [your sales force’s] compensation plan is

structured? Is it a fair structure? How effective do you think it is? Does it motivate you to

increase your sales/open new customers/only sell high margined product? <If

manager,probe for how this affects their job performance, ease of doing their job, etc.>

16. Any final comments or questions?

<Conclude and thank.>

140

APPENDIX B

Essay 2: Pretest and Main Study Instruments

141

Pricing and Sales Force Compensation

Thank you for agreeing to participate in this survey. You must be at least 21

years of age or older to participate in this study. The goal of this study is to develop a

better understanding of selling strategies. Your participation is strictly voluntary. You

may opt out of the survey at any time with no penalty.

You will not be identified in any way. Responses will be combined for all

participants and studied only in the aggregate. All of the information that you provide is

strictly confidential.

Your voluntary participation and candid responses are vital to the study. The

questionnaire should take approximately 15 to 20 minutes to complete. Instructions are

provided for each section of the questionnaire.

Thank you very much for your assistance!

Participation:

_ I agree and give my consent to participate in this research project. I understand

that participation is voluntary and that I may withdraw my consent at any time without

penalty.

_ I do not agree to participate and will be excluded from the remainder of the

questions.

If the participant chooses NOT to agree, then the participant is skipped to the end

of the survey.

Qualifier questions:

Q#1. What best describes your current job? (Salesperson, Sales Manager with account

responsibility, Sales Manager with no accounts, VP of Sales, other type of sales

professional with account responsibility, other type of sales professional without account

responsibility).

If Sales Manager with no accounts, VP of Sales, and other type of sales professional

without account responsibility are chosen- then the participant is skipped to the end of

the survey.

Q#2. Do you sell in Business to Business markets? (yes, no)

If no is selected then the participant is skipped to the end of the survey.

142

Scenario

Please read the short scenario that follows and place yourself in the situation described in

the scenario. Responding to the survey will take 15-20 minutes of your time. This same

scenario will appear two more times during the survey. You can refer back to the

scenario throughout the survey.

Scenario Version PM

You work for a company that just announced their goals for the year. You are a

sales professional for this company, and your customer base includes manufacturers and

distributors. You are responsible for the complete sales cycle which includes obtaining

and conveying market and product information, completing sales reports, and

maintaining customer relationships. The Marketing Department is responsible for

advertising, promoting, and pricing all of the products you sell.

You just found out that your sales goal for the year is to increase the profit

margin for sales of a product line in your territory by 3%. For this fiscal year, your

commission will increase by an additional 3% on total monthly sales when you achieve

your new goal of increased profit margin. There is no earnings cap. Based on last year’s

pricing structure you know you will have to increase your sales of this product line

significantly in the coming year in order to receive the extra commission. However, you

also just learned that the Marketing Department has communicated to the market a

“fighting” product pricing strategy with lower prices for the same product line in

order to gain market share. Marketing has indicated that the lower prices are in effect

for at least a year.

Scenario Version MP

You work for a company that just announced their goals for the year. You are a

sales professional for this company, and your customer base includes manufacturers and

distributors. You are responsible for the complete sales cycle which includes obtaining

and conveying market and product information, completing sales reports, and

maintaining customer relationships. The Marketing Department is responsible for

advertising, promoting, and pricing all of the products you sell.

You just found out that your sales goal for the year is to increase the market

share for sales of a product line in your territory by 3%. For this fiscal year, your

commission will increase by an additional 3% on total monthly sales when you achieve

your new goal of increased market share. There is no earnings cap. Based on last year’s

pricing structure you know you will have to increase your sales of this product line

significantly in the coming year in order to receive the extra commission. However, you

also just learned that the Marketing Department has communicated to the market a

“premium” product pricing strategy with higher prices for the same product line in

143

order to maximize profits. Marketing has indicated that the higher prices are in effect

for at least a year.

Scenario Version PP

You work for a company that just announced their goals for the year. You are a

sales professional for this company, and your customer base includes manufacturers and

distributors. You are responsible for the complete sales cycle which includes obtaining

and conveying market and product information, completing sales reports, and

maintaining customer relationships. The Marketing Department is responsible for

advertising, promoting, and pricing all of the products you sell.

You just found out that your sales goal for the year is to increase the profit

margin for sales of a product line in your territory by 3%. For this fiscal year, your

commission will increase by an additional 3% on total monthly sales when you achieve

your new goal of increased profit margin. There is no earnings cap. Based on last year’s

pricing structure you know you will have to increase your sales of this product line

significantly in the coming year in order to receive the extra commission. However, you

also just learned that the Marketing Department has communicated to the market a

“premium” product pricing strategy with higher prices for the same product line in

order to maximize profits. Marketing has indicated that the higher prices are in effect

for at least a year.

Scenario Version MM

You work for a company that just announced their goals for the year. You are a

sales professional for this company, and your customer base includes manufacturers and

distributors. You are responsible for the complete sales cycle which includes obtaining

and conveying market and product information, completing sales reports, and

maintaining customer relationships. The Marketing Department is responsible for

advertising, promoting, and pricing all of the products you sell.

You just found out that your sales goal for the year is to increase the market

share for sales of a product line in your territory by 3%. For this fiscal year, your

commission will increase by an additional 3% on total monthly sales when you achieve

your new goal of increased market share. There is no earnings cap. Based on last year’s

pricing structure you know you will have to increase your sales of this product line

significantly in the coming year in order to receive the extra commission. However, you

also just learned that the Marketing Department has communicated to the market a

“fighting” product pricing strategy with lower prices for the same product line in

order to gain market share. Marketing has indicated that the lower prices are in effect

for at least a year.

Survey

144

Please reflect on the scenario that you just read when answering the following questions.

Select the response that best represents how you feel based on the scenario. Use a scale

ranging from (1) “strongly disagree” to (7) “strongly agree”.

Manipulation check

1. In the scenario, the goal of the sales force compensation strategy is to increase

market share.

2. In the scenario, the goal of the pricing strategy is to maximize profits.

Realism check (α= .813)

3. I can imagine a company actually implementing the initiatives described in the

scenario.

4. The sales situation described in the scenario likely occurs in business today.

Interpretation check

5. Based on the scenario, the potential 3 percent increase in my commission is __.

(1) “very unattractive” to (7) “very attractive”

Please consider the scenario and slide the bar to reflect your response to the following

questions. Use your cursor to slide the bar from (0) “not at all” to (100) “a lot”.

Conflict check

6. To what degree do you feel the pricing goal in the scenario is in conflict with the

sales force compensation goal?

Behavioral intention (α= .759)

7. If you were in the situation described in the scenario, to what degree would you

try to achieve the pricing goal?

8. If you were in the situation described in the scenario, to what degree would you

try to achieve the sales force compensation goal?

Consider the scenario when you respond to the following questions. Indicate the

response that best represents your feelings about the statement on the scale ranging from

(1) “strongly agree” to (7) “strongly disagree”.

Instrumentality (α= .604; but α= .779 if Q15.3 and Q15.4 only)

145

9. Based on the information in the scenario, if I meet my sales goal my commission

will increase by an additional 3 percent this year.

10. Based on the information in the scenario, reaching my sales goal will result in

earning my commission.

11. Based on the information in the scenario, if I achieve my sales goal I will be

viewed more favorably by my manager.

12. Based on the information in the scenario, if I achieve my sales goal I will attain

more prestige within my organization.

13. Based on the information in the scenario, if I achieve my sales goal I will be

viewed more favorably by my customers.

Consider the scenario when you respond to the following questions. Indicate the

response that best represents your feelings about the statement on the scale ranging from

(1) “strongly disagree” to (7) “strongly agree”.

Extrinsic motivation (α= .864)

14. If I were in the situation described in the scenario, the extra money that I could

earn from achieving the sales goal would strongly motivate my efforts.

15. If I were in the situation described in the scenario, I would be keenly aware of the

income rewards available to me.

16. If I were in the situation described in the scenario, I would be strongly motivated

by the recognition I could earn from other people.

17. The situation described in the scenario would provide an opportunity for me to

show others how well I can perform in my job.

18. If I were in the situation described in the scenario, the extra commission I could

earn would make me work harder to achieve my sales goal.

Consider the scenario when you respond to the following questions. Indicate the

response that best represents your feelings about the statement on the scale ranging from

(1) to (7).

Expectancy (α= .843 with reverse coded item)

19. Given the scenario, I would estimate my chances of success in achieving the

assigned sales goal to be _____. (1 = very poor, 7 = excellent)

146

20. Based on the scenario, performing my duties as well as I am capable would result

in reaching my sales goal. (1=strongly disagree, 7=strongly agree).

21. Given the scenario, it would be unlikely that my efforts would enable me to

achieve the goal for this product line. (1=strongly disagree, 7=strongly agree).(R)

22. Given the scenario, the probability that I would be able to achieve the necessary

increase in sales would be _____. (1= very low, 7=very high)

23. Given the scenario, achieving the sales goal would be____. (1= highly unlikely,

7= highly likely)

The following questions are about your current job and your feelings based on your

selling experience. Indicate the response that best represents your feelings about the

statement on the scale ranging from (1) “strongly agree” to (7) “strongly disagree”.

Demographics

The following questions are about your current job and your experience. Please insert or

select the appropriate response.

24. How many years of experience do you have as a sales professional? (fill in the

blank)

25. How many years have you worked in sales at your current company? (fill in the

blank)

26. What is your gender? (male, female)

27. What is the highest level of education you have completed? (Less than high

school, High School/GED, Some college, 2-year College Degree, 4-year College

Degree, Graduate Degree)

28. What industry do you sell in? (fill in the blank)

29. What percent of your total compensation is commission? (fill in the blank)

147

Main Study Instrument

Pricing and Sales Force Compensation

Scenario Version PM (Other scenarios were changed in the same manner)

Please read the short scenario that follows and place yourself in the situation

described. Responding to the survey will take 15-20 minutes of your time. This same

scenario will appear two more times during the survey for your reference.

You work for a company that just announced their goals for the year. You are a

sales professional for this company, and your customer base includes manufacturers and

distributors. You are responsible for the complete sales cycle which includes obtaining

and conveying market and product information, completing sales reports, and

maintaining customer relationships. The Marketing Department is responsible for

advertising, promoting, and pricing all of the products you sell.

You just found out that your sales goal for the year is to increase the profit

margin for sales of a product line in your territory by 3%. If you do this, your

commission will increase by an additional 3% on total monthly sales. There is no

earnings cap. Based on last year’s pricing structure you know you will have to increase

your sales of this product line significantly in the coming year in order to receive the

extra commission. However, you also just learned that the Marketing Department has

communicated to the market a “fighting” product pricing strategy with lower prices

for the same product line in order to gain market share. These lower prices are in

effect for at least a year.

In summary, the goal of the sales force compensation strategy is to maximize

profits and the goal of the pricing strategy is to increase market share.

Survey

Please reflect on the scenario that you just read when answering the following questions.

Select the response that best represents how you feel based on the scenario. Use a scale

ranging from (1) “strongly disagree” to (7) “strongly agree”.

Manipulation check

1. In the scenario, the goal of the sales force compensation strategy is to increase

market share. (F=11.31, p ≤ .001)

2. In the scenario, the goal of the pricing strategy is to maximize profits.

(F=13.99, p ≤ .001)

148

Realism check (α =.78)

3. I can imagine a company actually implementing the initiatives described in

the scenario.

4. The sales situation described in the scenario likely occurs in business today.

Interpretation check

5. Based on the scenario, the potential 3 percent increase in my commission is

__. (1) “very unattractive” to (7) “very attractive”

Please consider the scenario and slide the bar to reflect your response to the following

questions. Use your cursor to slide the bar from (0) “not at all” to (100) “completely”.

Conflict check

6. To what degree do you feel the pricing goal in the scenario is in conflict with

the sales force compensation goal? (F=5.85, p ≤ .05)

7. In the scenario, the goal of the pricing strategy is in conflict with the goal of

the sales force compensation strategy. (1) “strongly disagree” to (7) “strongly

agree” (F=12.08, p ≤ .001)

Behavioral intention (α= .71)

8. If you were in the situation described in the scenario, to what degree would

you try to achieve the pricing goal?

9. If you were in the situation described in the scenario, to what degree would

you try to achieve the sales force compensation goal?

Please reflect on the scenario you just read when you are answering the following

questions. Check the response that best represents how you feel about the question.

Expectancy (α=.93)

10. Given the scenario, I would estimate my chances of success in achieving the

assigned sales goal to be_____. (1= very poor, 7 = excellent)

11. Based on the scenario, performing my duties as well as I am capable would

result in reaching my sales goal. (1=strongly disagree, 7=strongly agree)

12. Given the scenario, the probability that I would be able to achieve the

necessary increase in sales would be _____. (1= very low, 7=very high)

149

13. Given the scenario, achieving the sales goal would be____. (1= highly

unlikely, 7= highly likely)

Instrumentality (α=.83) Monetary reward. (Eigenvalue 1.46) (α= .74)

14. Based on the information in the scenario, if I meet my sales goal my

commission will increase by an additional 3 percent this year. Factor .87

15. Based on the information in the scenario, reaching my sales goal will result in

an increase in commission. Factor .90

16. Based on the information in the scenario, if I reach my sales goal my overall

pay will increase. Factor .71

Performance recognition—internal (organizational recognition) and external

(customer facing recognition) (5 items: Eigenvalue 3.75, α=.89)

17. Based on the information in the scenario, if I achieve my sales goal I will be

viewed more favorably by my manager. Factor .73

18. Based on the information in the scenario, if I achieve my sales goal I will

attain more prestige within my organization. Factor .80

Performance recognition--External Customer_Facing_Instrumentality (3

items: Eigenvalue 3.45, α =.90, M = 4.14)

19. Based on the information in the scenario, if I achieve my sales goal I will be

viewed more favorably by my customers. Factor .80

20. Based on the information in the scenario, if I achieve my sales goal I will have

fewer complaints from my customers. Factor .93

21. Based on the information in the scenario, achieving my sales goal, will result

in better working relationships with my customers. Factor .834

Extrinsic motivation (α= .88)

22. If I were in the situation described in the scenario, the extra money that I

could earn from achieving the sales goal would strongly motivate my efforts.

23. If I were in the situation described in the scenario, I would be keenly aware of

the income rewards available to me.

150

24. The situation described in the scenario would provide an opportunity for me to

show others how well I can perform in my job.

25. If I were in the situation described in the scenario, the extra commission I

could earn would make me work harder to achieve my sales goal.

Goal difficulty (α= .81)

When responding to these next questions please think about the degree to which the

pricing strategy helps or hinders your ability to achieve your sales goal.

26. In the scenario, the pricing strategy will make it more difficult to achieve my

assigned sales goal. (1) “strongly disagree” to (7) “strongly agree”

27. As described in the scenario, the pricing strategy makes achieving the

assigned sales goal ___. (1) “much easier” to (7) “much harder”

28. Given the pricing strategy, the assigned sales goal in the scenario would be

____. (1) “not difficult at all” to (7) “very difficult”

Demographics

The following questions are about your current job and your experience. Please insert or

select the appropriate response.

29. How many years of experience do you have as a sales professional? Not

significant (F = .25, p =.62)

30. How many years have you worked in sales at your current company? Not

significant (F=1.68, p = .174)

31. What is your gender? (male, female) Not significant (F=.36, p = .79)

32. What is the highest level of education you have completed? (Less than high

school, High School/GED, Some college, 2-year College Degree, 4-year

College Degree, Graduate Degree) Not significant (F = .03, p =.99)

33. What industry do you work in? Not significant (F =.31, p =.58)

34. What percent of your total compensation is commission? Not significant (F

=.39, p =.54)